Overview

Dataset statistics

Number of variables257
Number of observations122031
Missing cells18110443
Missing cells (%)57.7%
Total size in memory61.7 MiB
Average record size in memory530.5 B

Variable types

Categorical211
Numeric35
Unsupported11

Alerts

CADULT1 has constant value "1.0"Constant
CCLGHOUS has constant value "1.0"Constant
CELLFON5 has constant value "1.0"Constant
CELPHON1 has constant value "2.0"Constant
COLGHOUS has constant value "1.0"Constant
CTELNUM1 has constant value "1.0"Constant
SAFETIME has constant value "1.0"Constant
STATERE1 has constant value "1.0"Constant
_AGE80 has a high cardinality: 63 distinct valuesHigh cardinality
ACEADNED is highly imbalanced (62.2%)Imbalance
ACEDEPRS is highly imbalanced (55.4%)Imbalance
ACEDIVRC is highly imbalanced (52.9%)Imbalance
ACEDRINK is highly imbalanced (52.7%)Imbalance
ACEDRUGS is highly imbalanced (68.1%)Imbalance
ACEHVSEX is highly imbalanced (76.3%)Imbalance
ACEPRISN is highly imbalanced (73.9%)Imbalance
ACEPUNCH is highly imbalanced (56.0%)Imbalance
ACETOUCH is highly imbalanced (62.8%)Imbalance
ACETTHEM is highly imbalanced (68.4%)Imbalance
ADDEPEV3 is highly imbalanced (59.9%)Imbalance
ASBIADVC is highly imbalanced (53.8%)Imbalance
ASBIRDUC is highly imbalanced (73.5%)Imbalance
ASTHMA3 is highly imbalanced (67.2%)Imbalance
BLIND is highly imbalanced (82.7%)Imbalance
CAREGIV1 is highly imbalanced (63.3%)Imbalance
CASTHDX2 is highly imbalanced (60.2%)Imbalance
CELLSEX1 is highly imbalanced (56.4%)Imbalance
CHCCOPD3 is highly imbalanced (76.8%)Imbalance
CHCKDNY2 is highly imbalanced (84.0%)Imbalance
CHCOCNC1 is highly imbalanced (70.3%)Imbalance
CHCSCNC1 is highly imbalanced (74.1%)Imbalance
CHECKUP1 is highly imbalanced (60.5%)Imbalance
CIMEMLOS is highly imbalanced (69.7%)Imbalance
COLNCNCR is highly imbalanced (52.0%)Imbalance
COLNSIGM is highly imbalanced (65.6%)Imbalance
COVIDPOS is highly imbalanced (53.3%)Imbalance
COVIDSMP is highly imbalanced (54.2%)Imbalance
COVIDVA1 is highly imbalanced (61.7%)Imbalance
CRGVALZD is highly imbalanced (58.7%)Imbalance
CRGVEXPT is highly imbalanced (53.4%)Imbalance
CRGVHOU1 is highly imbalanced (59.2%)Imbalance
CRVCLPAP is highly imbalanced (74.2%)Imbalance
CSRVCLIN is highly imbalanced (81.0%)Imbalance
CSRVDEIN is highly imbalanced (82.8%)Imbalance
CSRVINSR is highly imbalanced (83.9%)Imbalance
CSRVPAIN is highly imbalanced (72.0%)Imbalance
CSRVRTRN is highly imbalanced (52.2%)Imbalance
CSTATE1 is highly imbalanced (72.4%)Imbalance
CTELENM1 is highly imbalanced (99.9%)Imbalance
CVDCRHD4 is highly imbalanced (79.2%)Imbalance
CVDINFR4 is highly imbalanced (80.9%)Imbalance
CVDSTRK3 is highly imbalanced (85.0%)Imbalance
DEAF is highly imbalanced (75.1%)Imbalance
DECIDE is highly imbalanced (70.2%)Imbalance
DIABETE4 is highly imbalanced (68.4%)Imbalance
DIABTYPE is highly imbalanced (59.3%)Imbalance
DIFFALON is highly imbalanced (78.5%)Imbalance
DIFFDRES is highly imbalanced (86.7%)Imbalance
DIFFWALK is highly imbalanced (65.9%)Imbalance
ECIGNOW2 is highly imbalanced (58.2%)Imbalance
EXERANY2 is highly imbalanced (59.1%)Imbalance
FEETSORE is highly imbalanced (75.8%)Imbalance
FOODSTMP is highly imbalanced (75.7%)Imbalance
HADHYST2 is highly imbalanced (54.8%)Imbalance
HADMAM is highly imbalanced (60.1%)Imbalance
HADSIGM4 is highly imbalanced (55.0%)Imbalance
HAVARTH4 is highly imbalanced (50.7%)Imbalance
HEATTBCO is highly imbalanced (68.3%)Imbalance
HIVRISK5 is highly imbalanced (84.5%)Imbalance
INSULIN1 is highly imbalanced (52.6%)Imbalance
IYEAR is highly imbalanced (70.8%)Imbalance
LADULT1 is highly imbalanced (98.9%)Imbalance
LANDLINE is highly imbalanced (60.6%)Imbalance
LANDSEX1 is highly imbalanced (61.5%)Imbalance
LASTSMK2 is highly imbalanced (51.0%)Imbalance
MARJDAB is highly imbalanced (70.9%)Imbalance
MARJOTHR is highly imbalanced (79.5%)Imbalance
MARJSMOK is highly imbalanced (59.1%)Imbalance
MARJVAPE is highly imbalanced (58.0%)Imbalance
MEDCOST1 is highly imbalanced (78.2%)Imbalance
MENTCIGS is highly imbalanced (53.9%)Imbalance
MENTECIG is highly imbalanced (52.5%)Imbalance
NUMHHOL4 is highly imbalanced (76.4%)Imbalance
PCPSARS2 is highly imbalanced (59.0%)Imbalance
PFPPRVN4 is highly imbalanced (61.1%)Imbalance
PREDIAB2 is highly imbalanced (69.2%)Imbalance
PREGNANT is highly imbalanced (87.8%)Imbalance
PSASUGST is highly imbalanced (59.8%)Imbalance
PVTRESD1 is highly imbalanced (99.8%)Imbalance
PVTRESD3 is highly imbalanced (96.5%)Imbalance
QSTLANG is highly imbalanced (82.8%)Imbalance
RCSRLTN2 is highly imbalanced (57.3%)Imbalance
RENTHOM1 is highly imbalanced (52.6%)Imbalance
RESPSLCT is highly imbalanced (50.9%)Imbalance
RRATWRK2 is highly imbalanced (58.2%)Imbalance
RRCLASS3 is highly imbalanced (64.6%)Imbalance
RRPHYSM2 is highly imbalanced (82.7%)Imbalance
SDHBILLS is highly imbalanced (75.9%)Imbalance
SDHEMPLY is highly imbalanced (74.0%)Imbalance
SDHFOOD1 is highly imbalanced (62.5%)Imbalance
SDHTRNSP is highly imbalanced (81.1%)Imbalance
SDHUTILS is highly imbalanced (81.8%)Imbalance
SMALSTOL is highly imbalanced (60.1%)Imbalance
SMOKDAY2 is highly imbalanced (51.0%)Imbalance
SOFEMALE is highly imbalanced (69.9%)Imbalance
SOMALE is highly imbalanced (74.2%)Imbalance
STOOLDN2 is highly imbalanced (55.1%)Imbalance
TRNSGNDR is highly imbalanced (92.9%)Imbalance
USENOW3 is highly imbalanced (89.8%)Imbalance
VETERAN3 is highly imbalanced (70.6%)Imbalance
VIRCOLO1 is highly imbalanced (55.6%)Imbalance
ACEADNED has 89328 (73.2%) missing valuesMissing
ACEADSAF has 89273 (73.2%) missing valuesMissing
ACEDEPRS has 88860 (72.8%) missing valuesMissing
ACEDIVRC has 88968 (72.9%) missing valuesMissing
ACEDRINK has 88910 (72.9%) missing valuesMissing
ACEDRUGS has 88922 (72.9%) missing valuesMissing
ACEHURT1 has 89051 (73.0%) missing valuesMissing
ACEHVSEX has 89223 (73.1%) missing valuesMissing
ACEPRISN has 88947 (72.9%) missing valuesMissing
ACEPUNCH has 89011 (72.9%) missing valuesMissing
ACESWEAR has 89085 (73.0%) missing valuesMissing
ACETOUCH has 89130 (73.0%) missing valuesMissing
ACETTHEM has 89165 (73.1%) missing valuesMissing
ALCDAY4 has 11927 (9.8%) missing valuesMissing
ASBIADVC has 102739 (84.2%) missing valuesMissing
ASBIALCH has 102375 (83.9%) missing valuesMissing
ASBIBING has 102451 (84.0%) missing valuesMissing
ASBIDRNK has 102401 (83.9%) missing valuesMissing
ASBIRDUC has 106991 (87.7%) missing valuesMissing
ASTHNOW has 103417 (84.7%) missing valuesMissing
AVEDRNK3 has 65847 (54.0%) missing valuesMissing
BCPREFER has 115288 (94.5%) missing valuesMissing
BIRTHSEX has 88297 (72.4%) missing valuesMissing
BLDSTFIT has 118842 (97.4%) missing valuesMissing
BLIND has 5827 (4.8%) missing valuesMissing
BRTHCNT4 has 116588 (95.5%) missing valuesMissing
CADULT1 has 27413 (22.5%) missing valuesMissing
CAGEG has 109991 (90.1%) missing valuesMissing
CAREGIV1 has 93178 (76.4%) missing valuesMissing
CASTHDX2 has 107377 (88.0%) missing valuesMissing
CASTHNO2 has 120530 (98.8%) missing valuesMissing
CCLGHOUS has 121689 (99.7%) missing valuesMissing
CDASSIST has 113279 (92.8%) missing valuesMissing
CDDISCUS has 113319 (92.9%) missing valuesMissing
CDHELP has 119730 (98.1%) missing valuesMissing
CDHOUSE has 113256 (92.8%) missing valuesMissing
CDSOCIAL has 113301 (92.8%) missing valuesMissing
CELLFON5 has 27413 (22.5%) missing valuesMissing
CELLSEX1 has 27413 (22.5%) missing valuesMissing
CELPHON1 has 94618 (77.5%) missing valuesMissing
CERVSCRN has 61489 (50.4%) missing valuesMissing
CHILDREN has 2681 (2.2%) missing valuesMissing
CHKHEMO3 has 114844 (94.1%) missing valuesMissing
CIMEMLOS has 48310 (39.6%) missing valuesMissing
CNCRAGE has 112204 (91.9%) missing valuesMissing
CNCRDIFF has 111734 (91.6%) missing valuesMissing
CNCRTYP2 has 112211 (92.0%) missing valuesMissing
COLGHOUS has 122027 (> 99.9%) missing valuesMissing
COLGSEX1 has 122027 (> 99.9%) missing valuesMissing
COLNCNCR has 40623 (33.3%) missing valuesMissing
COLNSIGM has 61204 (50.2%) missing valuesMissing
COLNTES1 has 62769 (51.4%) missing valuesMissing
COPDBRTH has 122031 (100.0%) missing valuesMissing
COPDBTST has 122031 (100.0%) missing valuesMissing
COPDCOGH has 122031 (100.0%) missing valuesMissing
COPDFLEM has 122031 (100.0%) missing valuesMissing
COPDSMOK has 122031 (100.0%) missing valuesMissing
COVACGET has 117821 (96.6%) missing valuesMissing
COVIDFS1 has 100466 (82.3%) missing valuesMissing
COVIDINT has 120858 (99.0%) missing valuesMissing
COVIDNU1 has 100319 (82.2%) missing valuesMissing
COVIDPOS has 14277 (11.7%) missing valuesMissing
COVIDPRM has 114891 (94.1%) missing valuesMissing
COVIDSE1 has 101775 (83.4%) missing valuesMissing
COVIDSMP has 89514 (73.4%) missing valuesMissing
COVIDVA1 has 95329 (78.1%) missing valuesMissing
CRGVALZD has 116620 (95.6%) missing valuesMissing
CRGVEXPT has 99483 (81.5%) missing valuesMissing
CRGVHOU1 has 115909 (95.0%) missing valuesMissing
CRGVHRS1 has 115859 (94.9%) missing valuesMissing
CRGVLNG1 has 115844 (94.9%) missing valuesMissing
CRGVPER1 has 115899 (95.0%) missing valuesMissing
CRGVPRB3 has 115877 (95.0%) missing valuesMissing
CRGVREL4 has 115828 (94.9%) missing valuesMissing
CRVCLCNC has 84490 (69.2%) missing valuesMissing
CRVCLHPV has 84600 (69.3%) missing valuesMissing
CRVCLPAP has 84544 (69.3%) missing valuesMissing
CSRVCLIN has 117778 (96.5%) missing valuesMissing
CSRVCTL2 has 121365 (99.5%) missing valuesMissing
CSRVDEIN has 117774 (96.5%) missing valuesMissing
CSRVDOC1 has 117745 (96.5%) missing valuesMissing
CSRVINSR has 117769 (96.5%) missing valuesMissing
CSRVINST has 118840 (97.4%) missing valuesMissing
CSRVPAIN has 113988 (93.4%) missing valuesMissing
CSRVRTRN has 117762 (96.5%) missing valuesMissing
CSRVSUM has 117755 (96.5%) missing valuesMissing
CSRVTRT3 has 114432 (93.8%) missing valuesMissing
CSTATE1 has 27413 (22.5%) missing valuesMissing
CTELENM1 has 94618 (77.5%) missing valuesMissing
CTELNUM1 has 27413 (22.5%) missing valuesMissing
DEAF has 5480 (4.5%) missing valuesMissing
DECIDE has 6153 (5.0%) missing valuesMissing
DIABAGE4 has 105362 (86.3%) missing valuesMissing
DIABEDU1 has 114844 (94.1%) missing valuesMissing
DIABEYE1 has 114844 (94.1%) missing valuesMissing
DIABTYPE has 114844 (94.1%) missing valuesMissing
DIFFALON has 7013 (5.7%) missing valuesMissing
DIFFDRES has 6711 (5.5%) missing valuesMissing
DIFFWALK has 6483 (5.3%) missing valuesMissing
DRNK3GE5 has 65985 (54.1%) missing valuesMissing
ECIGNOW2 has 9875 (8.1%) missing valuesMissing
EMPLOY1 has 1905 (1.6%) missing valuesMissing
EMTSUPRT has 39266 (32.2%) missing valuesMissing
EYEEXAM1 has 114844 (94.1%) missing valuesMissing
FEETSORE has 114844 (94.1%) missing valuesMissing
FIREARM5 has 111546 (91.4%) missing valuesMissing
FLSHTMY3 has 64471 (52.8%) missing valuesMissing
FLUSHOT7 has 12727 (10.4%) missing valuesMissing
FOODSTMP has 39528 (32.4%) missing valuesMissing
GUNLOAD has 118670 (97.2%) missing valuesMissing
HADHYST2 has 62272 (51.0%) missing valuesMissing
HADMAM has 61180 (50.1%) missing valuesMissing
HADSEX has 112864 (92.5%) missing valuesMissing
HADSIGM4 has 40139 (32.9%) missing valuesMissing
HAVECFS has 122031 (100.0%) missing valuesMissing
HEATTBCO has 119103 (97.6%) missing valuesMissing
HEIGHT3 has 5040 (4.1%) missing valuesMissing
HHADULT has 27413 (22.5%) missing valuesMissing
HIVRISK5 has 14078 (11.5%) missing valuesMissing
HIVTST7 has 13447 (11.0%) missing valuesMissing
HIVTSTD3 has 87770 (71.9%) missing valuesMissing
HOWLONG has 74464 (61.0%) missing valuesMissing
HPVADSHT has 122031 (100.0%) missing valuesMissing
HPVADVC4 has 122031 (100.0%) missing valuesMissing
HTIN4 has 9233 (7.6%) missing valuesMissing
HTM4 has 8297 (6.8%) missing valuesMissing
IMFVPLA3 has 122031 (100.0%) missing valuesMissing
INCOME3 has 3818 (3.1%) missing valuesMissing
INSULIN1 has 114844 (94.1%) missing valuesMissing
LADULT1 has 94618 (77.5%) missing valuesMissing
LANDLINE has 27413 (22.5%) missing valuesMissing
LANDSEX1 has 109467 (89.7%) missing valuesMissing
LASTSIG4 has 121027 (99.2%) missing valuesMissing
LASTSMK2 has 106031 (86.9%) missing valuesMissing
LCSCTSC1 has 11191 (9.2%) missing valuesMissing
LCSCTWHN has 113044 (92.6%) missing valuesMissing
LCSFIRST has 77214 (63.3%) missing valuesMissing
LCSLAST has 88526 (72.5%) missing valuesMissing
LCSNUMCG has 78697 (64.5%) missing valuesMissing
LCSSCNCR has 76422 (62.6%) missing valuesMissing
LOADULK2 has 120820 (99.0%) missing valuesMissing
LSATISFY has 39152 (32.1%) missing valuesMissing
MARIJAN1 has 79845 (65.4%) missing valuesMissing
MARJDAB has 116235 (95.3%) missing valuesMissing
MARJEAT has 116230 (95.2%) missing valuesMissing
MARJOTHR has 116238 (95.3%) missing valuesMissing
MARJSMOK has 116228 (95.2%) missing valuesMissing
MARJVAPE has 116232 (95.2%) missing valuesMissing
MAXDRNKS has 66099 (54.2%) missing valuesMissing
MENTCIGS has 120324 (98.6%) missing valuesMissing
MENTECIG has 121375 (99.5%) missing valuesMissing
MSCODE has 94634 (77.5%) missing valuesMissing
NOBCUSE8 has 120756 (99.0%) missing valuesMissing
NUMADULT has 94622 (77.5%) missing valuesMissing
NUMHHOL4 has 94618 (77.5%) missing valuesMissing
NUMMEN has 109099 (89.4%) missing valuesMissing
NUMPHON4 has 119805 (98.2%) missing valuesMissing
NUMWOMEN has 109099 (89.4%) missing valuesMissing
PCPSARS2 has 120084 (98.4%) missing valuesMissing
PCSTALK1 has 119047 (97.6%) missing valuesMissing
PDIABTS1 has 69440 (56.9%) missing valuesMissing
PFPPRVN4 has 115211 (94.4%) missing valuesMissing
PNEUVAC4 has 13023 (10.7%) missing valuesMissing
POORHLTH has 51539 (42.2%) missing valuesMissing
PREDIAB2 has 69441 (56.9%) missing valuesMissing
PREGNANT has 101562 (83.2%) missing valuesMissing
PSASUGST has 120089 (98.4%) missing valuesMissing
PSATEST1 has 118767 (97.3%) missing valuesMissing
PSATIME1 has 120078 (98.4%) missing valuesMissing
PVTRESD1 has 94619 (77.5%) missing valuesMissing
PVTRESD3 has 27413 (22.5%) missing valuesMissing
RCSGEND1 has 107204 (87.8%) missing valuesMissing
RCSRLTN2 has 107342 (88.0%) missing valuesMissing
RCSXBRTH has 121211 (99.3%) missing valuesMissing
RESPSLCT has 107187 (87.8%) missing valuesMissing
RRATWRK2 has 94368 (77.3%) missing valuesMissing
RRCLASS3 has 66782 (54.7%) missing valuesMissing
RRCOGNT2 has 66915 (54.8%) missing valuesMissing
RRHCARE4 has 67185 (55.1%) missing valuesMissing
RRPHYSM2 has 67291 (55.1%) missing valuesMissing
RRTREAT has 67037 (54.9%) missing valuesMissing
SAFETIME has 27413 (22.5%) missing valuesMissing
SDHBILLS has 39742 (32.6%) missing valuesMissing
SDHEMPLY has 39439 (32.3%) missing valuesMissing
SDHFOOD1 has 39654 (32.5%) missing valuesMissing
SDHISOLT has 39375 (32.3%) missing valuesMissing
SDHSTRE1 has 40146 (32.9%) missing valuesMissing
SDHTRNSP has 39922 (32.7%) missing valuesMissing
SDHUTILS has 39823 (32.6%) missing valuesMissing
SDNATES1 has 118854 (97.4%) missing valuesMissing
SHINGLE2 has 115979 (95.0%) missing valuesMissing
SIGMTES1 has 112498 (92.2%) missing valuesMissing
SMALSTOL has 105151 (86.2%) missing valuesMissing
SMOKDAY2 has 76506 (62.7%) missing valuesMissing
SMOKE100 has 9337 (7.7%) missing valuesMissing
SOFEMALE has 89244 (73.1%) missing valuesMissing
SOMALE has 93017 (76.2%) missing valuesMissing
STATERE1 has 94618 (77.5%) missing valuesMissing
STOLTEST has 108598 (89.0%) missing valuesMissing
STOOLDN2 has 105235 (86.2%) missing valuesMissing
STOPSMK2 has 115875 (95.0%) missing valuesMissing
TETANUS1 has 13205 (10.8%) missing valuesMissing
TOLDCFS has 122031 (100.0%) missing valuesMissing
TRNSGNDR has 60253 (49.4%) missing valuesMissing
TYPCNTR9 has 116572 (95.5%) missing valuesMissing
USEMRJN4 has 119379 (97.8%) missing valuesMissing
USENOW3 has 9584 (7.9%) missing valuesMissing
VCLNTES2 has 119467 (97.9%) missing valuesMissing
VETERAN3 has 1349 (1.1%) missing valuesMissing
VIRCOLO1 has 105102 (86.1%) missing valuesMissing
WEIGHT2 has 4689 (3.8%) missing valuesMissing
WHEREGET has 117380 (96.2%) missing valuesMissing
WORKCFS has 122031 (100.0%) missing valuesMissing
WTKG3 has 12141 (9.9%) missing valuesMissing
COPDBRTH is an unsupported type, check if it needs cleaning or further analysisUnsupported
COPDBTST is an unsupported type, check if it needs cleaning or further analysisUnsupported
COPDCOGH is an unsupported type, check if it needs cleaning or further analysisUnsupported
COPDFLEM is an unsupported type, check if it needs cleaning or further analysisUnsupported
COPDSMOK is an unsupported type, check if it needs cleaning or further analysisUnsupported
HAVECFS is an unsupported type, check if it needs cleaning or further analysisUnsupported
HPVADSHT is an unsupported type, check if it needs cleaning or further analysisUnsupported
HPVADVC4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
IMFVPLA3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
TOLDCFS is an unsupported type, check if it needs cleaning or further analysisUnsupported
WORKCFS is an unsupported type, check if it needs cleaning or further analysisUnsupported
DROCDY4_ has 52099 (42.7%) zerosZeros

Reproduction

Analysis started2024-05-29 00:26:51.851040
Analysis finished2024-05-29 00:27:01.517000
Duration9.67 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

ACEADNED
Categorical

IMBALANCE  MISSING 

Distinct7
Distinct (%)< 0.1%
Missing89328
Missing (%)73.2%
Memory size119.6 KiB
5.0
26404 
4.0
3692 
3.0
 
1045
1.0
 
517
2.0
 
495
Other values (2)
 
550

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row4.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 26404
 
21.6%
4.0 3692
 
3.0%
3.0 1045
 
0.9%
1.0 517
 
0.4%
2.0 495
 
0.4%
9.0 451
 
0.4%
7.0 99
 
0.1%
(Missing) 89328
73.2%

Common Values (Plot)

2024-05-29T00:27:01.915474image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEADSAF
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing89273
Missing (%)73.2%
Memory size119.6 KiB
5.0
22524 
4.0
5482 
3.0
 
1944
1.0
 
1285
2.0
 
872
Other values (2)
 
651

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row3.0
3rd row4.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 22524
 
18.5%
4.0 5482
 
4.5%
3.0 1944
 
1.6%
1.0 1285
 
1.1%
2.0 872
 
0.7%
9.0 482
 
0.4%
7.0 169
 
0.1%
(Missing) 89273
73.2%

Common Values (Plot)

2024-05-29T00:27:02.414574image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEDEPRS
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing88860
Missing (%)72.8%
Memory size119.5 KiB
2.0
25924 
1.0
6435 
9.0
 
465
7.0
 
347

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 25924
 
21.2%
1.0 6435
 
5.3%
9.0 465
 
0.4%
7.0 347
 
0.3%
(Missing) 88860
72.8%

Common Values (Plot)

2024-05-29T00:27:02.785880image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEDIVRC
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing88968
Missing (%)72.9%
Memory size119.5 KiB
2.0
22825 
1.0
9148 
8.0
 
464
9.0
 
436
7.0
 
190

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 22825
 
18.7%
1.0 9148
 
7.5%
8.0 464
 
0.4%
9.0 436
 
0.4%
7.0 190
 
0.2%
(Missing) 88968
72.9%

Common Values (Plot)

2024-05-29T00:27:03.067300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEDRINK
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing88910
Missing (%)72.9%
Memory size119.5 KiB
2.0
24221 
1.0
8323 
9.0
 
433
7.0
 
144

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 24221
 
19.8%
1.0 8323
 
6.8%
9.0 433
 
0.4%
7.0 144
 
0.1%
(Missing) 88910
72.9%

Common Values (Plot)

2024-05-29T00:27:03.333128image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEDRUGS
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing88922
Missing (%)72.9%
Memory size119.5 KiB
2.0
28944 
1.0
3554 
9.0
 
404
7.0
 
207

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 28944
 
23.7%
1.0 3554
 
2.9%
9.0 404
 
0.3%
7.0 207
 
0.2%
(Missing) 88922
72.9%

Common Values (Plot)

2024-05-29T00:27:03.780373image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEHURT1
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing89051
Missing (%)73.0%
Memory size119.5 KiB
1.0
23430 
3.0
6485 
2.0
 
2188
9.0
 
638
7.0
 
239

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 23430
 
19.2%
3.0 6485
 
5.3%
2.0 2188
 
1.8%
9.0 638
 
0.5%
7.0 239
 
0.2%
(Missing) 89051
73.0%

Common Values (Plot)

2024-05-29T00:27:04.032612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEHVSEX
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing89223
Missing (%)73.1%
Memory size119.5 KiB
1.0
30127 
3.0
 
1196
9.0
 
728
2.0
 
604
7.0
 
153

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 30127
 
24.7%
3.0 1196
 
1.0%
9.0 728
 
0.6%
2.0 604
 
0.5%
7.0 153
 
0.1%
(Missing) 89223
73.1%

Common Values (Plot)

2024-05-29T00:27:04.305150image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEPRISN
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing88947
Missing (%)72.9%
Memory size119.5 KiB
2.0
29982 
1.0
 
2579
9.0
 
402
7.0
 
121

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 29982
 
24.6%
1.0 2579
 
2.1%
9.0 402
 
0.3%
7.0 121
 
0.1%
(Missing) 88947
72.9%

Common Values (Plot)

2024-05-29T00:27:04.563928image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEPUNCH
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing89011
Missing (%)72.9%
Memory size119.5 KiB
1.0
26341 
3.0
4304 
2.0
 
1292
9.0
 
591
7.0
 
492

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 26341
 
21.6%
3.0 4304
 
3.5%
2.0 1292
 
1.1%
9.0 591
 
0.5%
7.0 492
 
0.4%
(Missing) 89011
72.9%

Common Values (Plot)

2024-05-29T00:27:04.808480image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACESWEAR
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing89085
Missing (%)73.0%
Memory size119.5 KiB
1.0
20252 
3.0
10045 
2.0
 
1644
9.0
 
624
7.0
 
381

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row3.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 20252
 
16.6%
3.0 10045
 
8.2%
2.0 1644
 
1.3%
9.0 624
 
0.5%
7.0 381
 
0.3%
(Missing) 89085
73.0%

Common Values (Plot)

2024-05-29T00:27:05.082594image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACETOUCH
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing89130
Missing (%)73.0%
Memory size119.5 KiB
1.0
27785 
3.0
 
2776
2.0
 
1461
9.0
 
742
7.0
 
137

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 27785
 
22.8%
3.0 2776
 
2.3%
2.0 1461
 
1.2%
9.0 742
 
0.6%
7.0 137
 
0.1%
(Missing) 89130
73.0%

Common Values (Plot)

2024-05-29T00:27:05.374082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACETTHEM
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing89165
Missing (%)73.1%
Memory size119.5 KiB
1.0
28865 
3.0
 
2013
2.0
 
1122
9.0
 
710
7.0
 
156

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 28865
 
23.7%
3.0 2013
 
1.6%
2.0 1122
 
0.9%
9.0 710
 
0.6%
7.0 156
 
0.1%
(Missing) 89165
73.1%

Common Values (Plot)

2024-05-29T00:27:05.630685image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ADDEPEV3
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
2.0
95642 
1.0
25579 
7.0
 
611
9.0
 
199

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 95642
78.4%
1.0 25579
 
21.0%
7.0 611
 
0.5%
9.0 199
 
0.2%

Common Values (Plot)

2024-05-29T00:27:05.878365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ALCDAY4
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)< 0.1%
Missing11927
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean522.8824475
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:06.128952image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1202
median230
Q3888
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)686

Descriptive statistics

Standard deviation358.2443287
Coefficient of variation (CV)0.6851335906
Kurtosis-1.950860726
Mean522.8824475
Median Absolute Deviation (MAD)129
Skewness0.02001225001
Sum57571449
Variance128338.999
MonotonicityNot monotonic
2024-05-29T00:27:06.447344image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
888 52099
42.7%
201 7805
 
6.4%
202 6205
 
5.1%
101 5087
 
4.2%
230 4692
 
3.8%
102 4136
 
3.4%
203 3610
 
3.0%
103 3180
 
2.6%
204 2792
 
2.3%
205 2708
 
2.2%
Other values (31) 17790
 
14.6%
(Missing) 11927
 
9.8%
ValueCountFrequency (%)
101 5087
4.2%
102 4136
3.4%
103 3180
2.6%
104 1698
 
1.4%
105 1667
 
1.4%
ValueCountFrequency (%)
999 707
 
0.6%
888 52099
42.7%
777 959
 
0.8%
230 4692
 
3.8%
229 93
 
0.1%

ASBIADVC
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing102739
Missing (%)84.2%
Memory size119.5 KiB
2.0
15198 
1.0
3270 
7.0
 
717
9.0
 
107

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 15198
 
12.5%
1.0 3270
 
2.7%
7.0 717
 
0.6%
9.0 107
 
0.1%
(Missing) 102739
84.2%

Common Values (Plot)

2024-05-29T00:27:06.725901image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASBIALCH
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing102375
Missing (%)83.9%
Memory size119.5 KiB
1.0
14414 
2.0
3630 
7.0
1543 
9.0
 
69

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 14414
 
11.8%
2.0 3630
 
3.0%
7.0 1543
 
1.3%
9.0 69
 
0.1%
(Missing) 102375
83.9%

Common Values (Plot)

2024-05-29T00:27:06.977264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASBIBING
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing102451
Missing (%)84.0%
Memory size119.5 KiB
2.0
11288 
1.0
4625 
7.0
3571 
9.0
 
96

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row7.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 11288
 
9.3%
1.0 4625
 
3.8%
7.0 3571
 
2.9%
9.0 96
 
0.1%
(Missing) 102451
84.0%

Common Values (Plot)

2024-05-29T00:27:07.238435image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASBIDRNK
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing102401
Missing (%)83.9%
Memory size119.5 KiB
1.0
12380 
2.0
5638 
7.0
1536 
9.0
 
76

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 12380
 
10.1%
2.0 5638
 
4.6%
7.0 1536
 
1.3%
9.0 76
 
0.1%
(Missing) 102401
83.9%

Common Values (Plot)

2024-05-29T00:27:07.520925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASBIRDUC
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing106991
Missing (%)87.7%
Memory size119.5 KiB
2.0
13616 
1.0
 
1170
7.0
 
192
9.0
 
62

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 13616
 
11.2%
1.0 1170
 
1.0%
7.0 192
 
0.2%
9.0 62
 
0.1%
(Missing) 106991
87.7%

Common Values (Plot)

2024-05-29T00:27:07.770197image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASTHMA3
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
2.0
102916 
1.0
18614 
7.0
 
429
9.0
 
72

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 102916
84.3%
1.0 18614
 
15.3%
7.0 429
 
0.4%
9.0 72
 
0.1%

Common Values (Plot)

2024-05-29T00:27:08.015208image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASTHNOW
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing103417
Missing (%)84.7%
Memory size119.5 KiB
1.0
12832 
2.0
5165 
7.0
 
605
9.0
 
12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 12832
 
10.5%
2.0 5165
 
4.2%
7.0 605
 
0.5%
9.0 12
 
< 0.1%
(Missing) 103417
84.7%

Common Values (Plot)

2024-05-29T00:27:08.275997image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

AVEDRNK3
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)0.1%
Missing65847
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean3.622935355
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:08.533245image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation11.01331034
Coefficient of variation (CV)3.039885967
Kurtosis49.64433058
Mean3.622935355
Median Absolute Deviation (MAD)1
Skewness7.044736489
Sum203551
Variance121.2930047
MonotonicityNot monotonic
2024-05-29T00:27:08.837378image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 24807
 
20.3%
2 17023
 
13.9%
3 6490
 
5.3%
4 2807
 
2.3%
5 1431
 
1.2%
6 1204
 
1.0%
77 530
 
0.4%
10 350
 
0.3%
8 341
 
0.3%
88 311
 
0.3%
Other values (32) 890
 
0.7%
(Missing) 65847
54.0%
ValueCountFrequency (%)
1 24807
20.3%
2 17023
13.9%
3 6490
 
5.3%
4 2807
 
2.3%
5 1431
 
1.2%
ValueCountFrequency (%)
99 145
 
0.1%
88 311
0.3%
77 530
0.4%
76 6
 
< 0.1%
75 1
 
< 0.1%

BCPREFER
Categorical

MISSING 

Distinct16
Distinct (%)0.2%
Missing115288
Missing (%)94.5%
Memory size120.0 KiB
6.0
1255 
4.0
1197 
2.0
774 
13.0
571 
1.0
566 
Other values (11)
2380 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row6.0
3rd row6.0
4th row14.0
5th row1.0

Common Values

ValueCountFrequency (%)
6.0 1255
 
1.0%
4.0 1197
 
1.0%
2.0 774
 
0.6%
13.0 571
 
0.5%
1.0 566
 
0.5%
7.0 537
 
0.4%
14.0 518
 
0.4%
77.0 287
 
0.2%
5.0 243
 
0.2%
99.0 229
 
0.2%
Other values (6) 566
 
0.5%
(Missing) 115288
94.5%

BIRTHSEX
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing88297
Missing (%)72.4%
Memory size119.5 KiB
2.0
17131 
1.0
16353 
9.0
 
204
7.0
 
46

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 17131
 
14.0%
1.0 16353
 
13.4%
9.0 204
 
0.2%
7.0 46
 
< 0.1%
(Missing) 88297
72.4%

Common Values (Plot)

2024-05-29T00:27:09.119854image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BLDSTFIT
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing118842
Missing (%)97.4%
Memory size119.5 KiB
1.0
2163 
2.0
546 
7.0
471 
9.0
 
9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 2163
 
1.8%
2.0 546
 
0.4%
7.0 471
 
0.4%
9.0 9
 
< 0.1%
(Missing) 118842
97.4%

Common Values (Plot)

2024-05-29T00:27:09.386822image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BLIND
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing5827
Missing (%)4.8%
Memory size119.5 KiB
2.0
109478 
1.0
 
6198
7.0
 
334
9.0
 
194

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 109478
89.7%
1.0 6198
 
5.1%
7.0 334
 
0.3%
9.0 194
 
0.2%
(Missing) 5827
 
4.8%

Common Values (Plot)

2024-05-29T00:27:09.818882image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4
Categorical

MISSING 

Distinct15
Distinct (%)0.3%
Missing116588
Missing (%)95.5%
Memory size120.0 KiB
0.0
3314 
7.0
511 
6.0
 
301
10.0
 
272
4.0
 
229
Other values (10)
816 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row0.0
3rd row12.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3314
 
2.7%
7.0 511
 
0.4%
6.0 301
 
0.2%
10.0 272
 
0.2%
4.0 229
 
0.2%
2.0 197
 
0.2%
99.0 195
 
0.2%
1.0 122
 
0.1%
12.0 101
 
0.1%
77.0 65
 
0.1%
Other values (5) 136
 
0.1%
(Missing) 116588
95.5%

CADULT1
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing27413
Missing (%)22.5%
Memory size119.4 KiB
1.0
94618 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 94618
77.5%
(Missing) 27413
 
22.5%

Common Values (Plot)

2024-05-29T00:27:10.019784image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CAGEG
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing109991
Missing (%)90.1%
Memory size119.5 KiB
3.0
3510 
4.0
2999 
2.0
2863 
1.0
2668 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row4.0
4th row4.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 3510
 
2.9%
4.0 2999
 
2.5%
2.0 2863
 
2.3%
1.0 2668
 
2.2%
(Missing) 109991
90.1%

Common Values (Plot)

2024-05-29T00:27:10.239357image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CAREGIV1
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing93178
Missing (%)76.4%
Memory size119.5 KiB
2.0
22324 
1.0
6211 
7.0
 
134
9.0
 
134
8.0
 
50

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 22324
 
18.3%
1.0 6211
 
5.1%
7.0 134
 
0.1%
9.0 134
 
0.1%
8.0 50
 
< 0.1%
(Missing) 93178
76.4%

Common Values (Plot)

2024-05-29T00:27:10.497062image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CASTHDX2
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing107377
Missing (%)88.0%
Memory size119.5 KiB
2.0
12425 
1.0
1503 
9.0
 
523
7.0
 
203

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 12425
 
10.2%
1.0 1503
 
1.2%
9.0 523
 
0.4%
7.0 203
 
0.2%
(Missing) 107377
88.0%

Common Values (Plot)

2024-05-29T00:27:10.760975image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CASTHNO2
Categorical

MISSING 

Distinct4
Distinct (%)0.3%
Missing120530
Missing (%)98.8%
Memory size119.5 KiB
1.0
974 
2.0
475 
7.0
 
50
9.0
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 974
 
0.8%
2.0 475
 
0.4%
7.0 50
 
< 0.1%
9.0 2
 
< 0.1%
(Missing) 120530
98.8%

Common Values (Plot)

2024-05-29T00:27:11.025364image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CCLGHOUS
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing121689
Missing (%)99.7%
Memory size119.4 KiB
1.0
342 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 342
 
0.3%
(Missing) 121689
99.7%

Common Values (Plot)

2024-05-29T00:27:11.260765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDASSIST
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing113279
Missing (%)92.8%
Memory size119.6 KiB
5.0
4690 
4.0
1647 
3.0
1612 
1.0
 
351
2.0
 
344
Other values (2)
 
108

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row4.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 4690
 
3.8%
4.0 1647
 
1.3%
3.0 1612
 
1.3%
1.0 351
 
0.3%
2.0 344
 
0.3%
7.0 94
 
0.1%
9.0 14
 
< 0.1%
(Missing) 113279
92.8%

Common Values (Plot)

2024-05-29T00:27:11.515377image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDDISCUS
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing113319
Missing (%)92.9%
Memory size119.5 KiB
2.0
4590 
1.0
3998 
7.0
 
112
9.0
 
12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 4590
 
3.8%
1.0 3998
 
3.3%
7.0 112
 
0.1%
9.0 12
 
< 0.1%
(Missing) 113319
92.9%

Common Values (Plot)

2024-05-29T00:27:11.816478image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDHELP
Categorical

MISSING 

Distinct7
Distinct (%)0.3%
Missing119730
Missing (%)98.1%
Memory size119.6 KiB
1.0
821 
3.0
587 
2.0
505 
4.0
211 
5.0
155 
Other values (2)
 
22

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row1.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 821
 
0.7%
3.0 587
 
0.5%
2.0 505
 
0.4%
4.0 211
 
0.2%
5.0 155
 
0.1%
7.0 18
 
< 0.1%
9.0 4
 
< 0.1%
(Missing) 119730
98.1%

Common Values (Plot)

2024-05-29T00:27:12.093346image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDHOUSE
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing113256
Missing (%)92.8%
Memory size119.6 KiB
5.0
4265 
3.0
1949 
4.0
1520 
2.0
439 
1.0
 
400
Other values (2)
 
202

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row3.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 4265
 
3.5%
3.0 1949
 
1.6%
4.0 1520
 
1.2%
2.0 439
 
0.4%
1.0 400
 
0.3%
7.0 179
 
0.1%
9.0 23
 
< 0.1%
(Missing) 113256
92.8%

Common Values (Plot)

2024-05-29T00:27:12.400741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDSOCIAL
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing113301
Missing (%)92.8%
Memory size119.6 KiB
5.0
4376 
4.0
1654 
3.0
1529 
1.0
558 
2.0
458 
Other values (2)
 
155

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row5.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 4376
 
3.6%
4.0 1654
 
1.4%
3.0 1529
 
1.3%
1.0 558
 
0.5%
2.0 458
 
0.4%
7.0 132
 
0.1%
9.0 23
 
< 0.1%
(Missing) 113301
92.8%

Common Values (Plot)

2024-05-29T00:27:12.790346image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CELLFON5
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing27413
Missing (%)22.5%
Memory size119.4 KiB
1.0
94618 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 94618
77.5%
(Missing) 27413
 
22.5%

Common Values (Plot)

2024-05-29T00:27:13.243313image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CELLSEX1
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing27413
Missing (%)22.5%
Memory size119.5 KiB
2.0
47606 
1.0
46899 
3.0
 
82
9.0
 
21
7.0
 
10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 47606
39.0%
1.0 46899
38.4%
3.0 82
 
0.1%
9.0 21
 
< 0.1%
7.0 10
 
< 0.1%
(Missing) 27413
22.5%

Common Values (Plot)

2024-05-29T00:27:13.554977image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CELPHON1
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing94618
Missing (%)77.5%
Memory size119.4 KiB
2.0
27413 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 27413
 
22.5%
(Missing) 94618
77.5%

Common Values (Plot)

2024-05-29T00:27:13.949722image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CERVSCRN
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing61489
Missing (%)50.4%
Memory size119.5 KiB
1.0
37589 
2.0
18171 
7.0
4534 
9.0
 
248

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 37589
30.8%
2.0 18171
 
14.9%
7.0 4534
 
3.7%
9.0 248
 
0.2%
(Missing) 61489
50.4%

Common Values (Plot)

2024-05-29T00:27:14.265901image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHCCOPD3
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
2.0
111081 
1.0
 
10376
7.0
 
494
9.0
 
80

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 111081
91.0%
1.0 10376
 
8.5%
7.0 494
 
0.4%
9.0 80
 
0.1%

Common Values (Plot)

2024-05-29T00:27:14.738717image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHCKDNY2
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
2.0
115696 
1.0
 
5774
7.0
 
460
9.0
 
101

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 115696
94.8%
1.0 5774
 
4.7%
7.0 460
 
0.4%
9.0 101
 
0.1%

Common Values (Plot)

2024-05-29T00:27:15.129949image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHCOCNC1
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
2.0
106292 
1.0
14972 
7.0
 
658
9.0
 
109

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 106292
87.1%
1.0 14972
 
12.3%
7.0 658
 
0.5%
9.0 109
 
0.1%

Common Values (Plot)

2024-05-29T00:27:15.478137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHCSCNC1
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
2.0
109672 
1.0
11379 
7.0
 
890
9.0
 
90

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 109672
89.9%
1.0 11379
 
9.3%
7.0 890
 
0.7%
9.0 90
 
0.1%

Common Values (Plot)

2024-05-29T00:27:15.933111image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHECKUP1
Categorical

IMBALANCE 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.6 KiB
1.0
97508 
2.0
10788 
3.0
 
6397
4.0
 
5201
7.0
 
1326
Other values (2)
 
811

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 97508
79.9%
2.0 10788
 
8.8%
3.0 6397
 
5.2%
4.0 5201
 
4.3%
7.0 1326
 
1.1%
8.0 617
 
0.5%
9.0 194
 
0.2%

Common Values (Plot)

2024-05-29T00:27:16.439634image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHILDREN
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)< 0.1%
Missing2681
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean67.41400922
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:16.915750image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.90134002
Coefficient of variation (CV)0.5473838517
Kurtosis-0.5312145466
Mean67.41400922
Median Absolute Deviation (MAD)0
Skewness-1.208180297
Sum8045862
Variance1361.708896
MonotonicityNot monotonic
2024-05-29T00:27:17.424315image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
88 89036
73.0%
1 11996
 
9.8%
2 10017
 
8.2%
3 4336
 
3.6%
99 1557
 
1.3%
4 1549
 
1.3%
5 508
 
0.4%
6 194
 
0.2%
7 82
 
0.1%
8 30
 
< 0.1%
Other values (17) 45
 
< 0.1%
(Missing) 2681
 
2.2%
ValueCountFrequency (%)
1 11996
9.8%
2 10017
8.2%
3 4336
 
3.6%
4 1549
 
1.3%
5 508
 
0.4%
ValueCountFrequency (%)
99 1557
 
1.3%
88 89036
73.0%
82 1
 
< 0.1%
81 1
 
< 0.1%
48 1
 
< 0.1%

CHKHEMO3
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)0.4%
Missing114844
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean11.74968693
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:17.924667image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation25.60979291
Coefficient of variation (CV)2.179614916
Kurtosis4.442853913
Mean11.74968693
Median Absolute Deviation (MAD)1
Skewness2.508037491
Sum84445
Variance655.8614927
MonotonicityNot monotonic
2024-05-29T00:27:18.344518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
2 2085
 
1.7%
4 1426
 
1.2%
1 1359
 
1.1%
3 1139
 
0.9%
88 348
 
0.3%
77 333
 
0.3%
6 132
 
0.1%
5 94
 
0.1%
12 68
 
0.1%
98 49
 
< 0.1%
Other values (22) 154
 
0.1%
(Missing) 114844
94.1%
ValueCountFrequency (%)
1 1359
1.1%
2 2085
1.7%
3 1139
0.9%
4 1426
1.2%
5 94
 
0.1%
ValueCountFrequency (%)
99 36
 
< 0.1%
98 49
 
< 0.1%
88 348
0.3%
77 333
0.3%
76 18
 
< 0.1%

CIMEMLOS
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing48310
Missing (%)39.6%
Memory size119.5 KiB
2.0
64594 
1.0
8270 
7.0
 
532
9.0
 
325

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 64594
52.9%
1.0 8270
 
6.8%
7.0 532
 
0.4%
9.0 325
 
0.3%
(Missing) 48310
39.6%

Common Values (Plot)

2024-05-29T00:27:18.791095image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRAGE
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)1.0%
Missing112204
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean57.62216343
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:19.079547image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26
Q146
median59
Q369
95-th percentile98
Maximum99
Range98
Interquartile range (IQR)23

Descriptive statistics

Standard deviation18.22552504
Coefficient of variation (CV)0.3162936613
Kurtosis0.2250471807
Mean57.62216343
Median Absolute Deviation (MAD)11
Skewness-0.001397958703
Sum566253
Variance332.1697632
MonotonicityNot monotonic
2024-05-29T00:27:19.603095image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 518
 
0.4%
60 509
 
0.4%
98 481
 
0.4%
65 424
 
0.3%
55 390
 
0.3%
70 343
 
0.3%
45 328
 
0.3%
40 326
 
0.3%
62 258
 
0.2%
58 247
 
0.2%
Other values (88) 6003
 
4.9%
(Missing) 112204
91.9%
ValueCountFrequency (%)
1 15
< 0.1%
2 6
 
< 0.1%
3 5
 
< 0.1%
4 2
 
< 0.1%
5 3
 
< 0.1%
ValueCountFrequency (%)
99 60
 
< 0.1%
98 481
0.4%
97 2
 
< 0.1%
96 1
 
< 0.1%
95 1
 
< 0.1%

CNCRDIFF
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing111734
Missing (%)91.6%
Memory size119.5 KiB
1.0
7547 
2.0
1862 
3.0
 
423
9.0
 
247
7.0
 
218

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 7547
 
6.2%
2.0 1862
 
1.5%
3.0 423
 
0.3%
9.0 247
 
0.2%
7.0 218
 
0.2%
(Missing) 111734
91.6%

Common Values (Plot)

2024-05-29T00:27:19.894773image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2
Categorical

MISSING 

Distinct32
Distinct (%)0.3%
Missing112211
Missing (%)92.0%
Memory size120.6 KiB
22.0
2879 
16.0
1280 
5.0
1169 
20.0
739 
30.0
630 
Other values (27)
3123 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12.0
2nd row22.0
3rd row20.0
4th row22.0
5th row15.0

Common Values

ValueCountFrequency (%)
22.0 2879
 
2.4%
16.0 1280
 
1.0%
5.0 1169
 
1.0%
20.0 739
 
0.6%
30.0 630
 
0.5%
23.0 590
 
0.5%
77.0 398
 
0.3%
7.0 273
 
0.2%
6.0 233
 
0.2%
15.0 211
 
0.2%
Other values (22) 1418
 
1.2%
(Missing) 112211
92.0%

COLGHOUS
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)25.0%
Missing122027
Missing (%)> 99.9%
Memory size119.4 KiB
1.0
4 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0

Common Values

ValueCountFrequency (%)
1.0 4
 
< 0.1%
(Missing) 122027
> 99.9%

Common Values (Plot)

2024-05-29T00:27:20.144712image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COLGSEX1
Categorical

MISSING 

Distinct2
Distinct (%)50.0%
Missing122027
Missing (%)> 99.9%
Memory size119.4 KiB
2.0
3 
1.0
1 

Unique

Unique1 ?
Unique (%)25.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0

Common Values

ValueCountFrequency (%)
2.0 3
 
< 0.1%
1.0 1
 
< 0.1%
(Missing) 122027
> 99.9%

Common Values (Plot)

2024-05-29T00:27:20.366370image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COLNCNCR
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing40623
Missing (%)33.3%
Memory size119.5 KiB
2.0
61709 
1.0
16959 
7.0
 
2319
9.0
 
421

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 61709
50.6%
1.0 16959
 
13.9%
7.0 2319
 
1.9%
9.0 421
 
0.3%
(Missing) 40623
33.3%

Common Values (Plot)

2024-05-29T00:27:20.610272image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COLNSIGM
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing61204
Missing (%)50.2%
Memory size119.5 KiB
1.0
50132 
3.0
9232 
7.0
 
1009
2.0
 
358
9.0
 
96

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 50132
41.1%
3.0 9232
 
7.6%
7.0 1009
 
0.8%
2.0 358
 
0.3%
9.0 96
 
0.1%
(Missing) 61204
50.2%

Common Values (Plot)

2024-05-29T00:27:20.865291image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COLNTES1
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing62769
Missing (%)51.4%
Memory size119.6 KiB
3.0
20179 
1.0
11711 
4.0
11460 
2.0
9115 
5.0
5581 
Other values (2)
 
1216

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row3.0
3rd row3.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 20179
 
16.5%
1.0 11711
 
9.6%
4.0 11460
 
9.4%
2.0 9115
 
7.5%
5.0 5581
 
4.6%
7.0 1146
 
0.9%
9.0 70
 
0.1%
(Missing) 62769
51.4%

Common Values (Plot)

2024-05-29T00:27:21.147423image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COPDBRTH
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122031
Missing (%)100.0%
Memory size119.4 KiB

COPDBTST
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122031
Missing (%)100.0%
Memory size119.4 KiB

COPDCOGH
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122031
Missing (%)100.0%
Memory size119.4 KiB

COPDFLEM
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122031
Missing (%)100.0%
Memory size119.4 KiB

COPDSMOK
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122031
Missing (%)100.0%
Memory size953.5 KiB

COVACGET
Categorical

MISSING 

Distinct6
Distinct (%)0.1%
Missing117821
Missing (%)96.6%
Memory size119.5 KiB
4.0
2583 
3.0
721 
7.0
604 
2.0
 
180
1.0
 
87

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row4.0
3rd row4.0
4th row4.0
5th row4.0

Common Values

ValueCountFrequency (%)
4.0 2583
 
2.1%
3.0 721
 
0.6%
7.0 604
 
0.5%
2.0 180
 
0.1%
1.0 87
 
0.1%
9.0 35
 
< 0.1%
(Missing) 117821
96.6%

Common Values (Plot)

2024-05-29T00:27:21.453746image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDFS1
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)0.2%
Missing100466
Missing (%)82.3%
Infinite0
Infinite (%)0.0%
Mean186846.1864
Minimum12020
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:21.716977image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum12020
5-th percentile12021
Q132021
median42021
Q3102021
95-th percentile777777
Maximum999999
Range987979
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation292327.5627
Coefficient of variation (CV)1.564535881
Kurtosis0.4168853217
Mean186846.1864
Median Absolute Deviation (MAD)20000
Skewness1.533115753
Sum4029338009
Variance8.545540393 × 1010
MonotonicityNot monotonic
2024-05-29T00:27:22.000194image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
32021 3948
 
3.2%
777777 3862
 
3.2%
22021 2794
 
2.3%
42021 2736
 
2.2%
12021 1725
 
1.4%
52021 1150
 
0.9%
62021 588
 
0.5%
122020 524
 
0.4%
82021 502
 
0.4%
92021 482
 
0.4%
Other values (32) 3254
 
2.7%
(Missing) 100466
82.3%
ValueCountFrequency (%)
12020 87
 
0.1%
12021 1725
1.4%
12022 183
 
0.1%
22020 132
 
0.1%
22021 2794
2.3%
ValueCountFrequency (%)
999999 71
 
0.1%
777777 3862
3.2%
772022 6
 
< 0.1%
772021 184
 
0.2%
772020 43
 
< 0.1%

COVIDINT
Categorical

MISSING 

Distinct5
Distinct (%)0.4%
Missing120858
Missing (%)99.0%
Memory size119.5 KiB
3.0
511 
1.0
303 
2.0
254 
7.0
77 
9.0
 
28

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row3.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
3.0 511
 
0.4%
1.0 303
 
0.2%
2.0 254
 
0.2%
7.0 77
 
0.1%
9.0 28
 
< 0.1%
(Missing) 120858
99.0%

Common Values (Plot)

2024-05-29T00:27:22.305683image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDNU1
Categorical

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing100319
Missing (%)82.2%
Memory size119.5 KiB
3.0
9923 
2.0
6448 
4.0
3955 
1.0
1275 
7.0
 
78

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row3.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 9923
 
8.1%
2.0 6448
 
5.3%
4.0 3955
 
3.2%
1.0 1275
 
1.0%
7.0 78
 
0.1%
9.0 33
 
< 0.1%
(Missing) 100319
82.2%

Common Values (Plot)

2024-05-29T00:27:22.599038image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPOS
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing14277
Missing (%)11.7%
Memory size119.5 KiB
2.0
74708 
1.0
28767 
3.0
 
3781
9.0
 
291
7.0
 
207

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 74708
61.2%
1.0 28767
 
23.6%
3.0 3781
 
3.1%
9.0 291
 
0.2%
7.0 207
 
0.2%
(Missing) 14277
 
11.7%

Common Values (Plot)

2024-05-29T00:27:22.874064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPRM
Categorical

MISSING 

Distinct13
Distinct (%)0.2%
Missing114891
Missing (%)94.1%
Memory size119.9 KiB
1.0
1900 
3.0
1220 
10.0
1163 
2.0
679 
11.0
661 
Other values (8)
1517 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row9.0
3rd row6.0
4th row7.0
5th row9.0

Common Values

ValueCountFrequency (%)
1.0 1900
 
1.6%
3.0 1220
 
1.0%
10.0 1163
 
1.0%
2.0 679
 
0.6%
11.0 661
 
0.5%
9.0 415
 
0.3%
4.0 344
 
0.3%
77.0 220
 
0.2%
5.0 213
 
0.2%
6.0 133
 
0.1%
Other values (3) 192
 
0.2%
(Missing) 114891
94.1%

COVIDSE1
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)0.2%
Missing101775
Missing (%)83.4%
Infinite0
Infinite (%)0.0%
Mean214729.9173
Minimum12020
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:23.241313image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum12020
5-th percentile22021
Q132021
median52021
Q3112021
95-th percentile777777
Maximum999999
Range987979
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation303739.0439
Coefficient of variation (CV)1.414516653
Kurtosis-0.1745370873
Mean214729.9173
Median Absolute Deviation (MAD)30000
Skewness1.327976345
Sum4349569205
Variance9.225740678 × 1010
MonotonicityNot monotonic
2024-05-29T00:27:23.691389image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
777777 4151
 
3.4%
42021 2827
 
2.3%
32021 2539
 
2.1%
52021 1879
 
1.5%
22021 1394
 
1.1%
62021 1061
 
0.9%
102021 719
 
0.6%
92021 686
 
0.6%
112021 650
 
0.5%
72021 579
 
0.5%
Other values (31) 3771
 
3.1%
(Missing) 101775
83.4%
ValueCountFrequency (%)
12020 4
 
< 0.1%
12021 506
 
0.4%
12022 339
 
0.3%
22020 36
 
< 0.1%
22021 1394
1.1%
ValueCountFrequency (%)
999999 90
 
0.1%
777777 4151
3.4%
772022 13
 
< 0.1%
772021 198
 
0.2%
772020 28
 
< 0.1%

COVIDSMP
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing89514
Missing (%)73.4%
Memory size119.5 KiB
2.0
24607 
1.0
7151 
7.0
 
735
9.0
 
24

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 24607
 
20.2%
1.0 7151
 
5.9%
7.0 735
 
0.6%
9.0 24
 
< 0.1%
(Missing) 89514
73.4%

Common Values (Plot)

2024-05-29T00:27:24.203834image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDVA1
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing95329
Missing (%)78.1%
Memory size119.5 KiB
1.0
21725 
2.0
4672 
9.0
 
229
7.0
 
76

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 21725
 
17.8%
2.0 4672
 
3.8%
9.0 229
 
0.2%
7.0 76
 
0.1%
(Missing) 95329
78.1%

Common Values (Plot)

2024-05-29T00:27:24.655526image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CPDEMO1C
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing932
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean1.397336064
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:25.062563image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.484366056
Coefficient of variation (CV)1.062282792
Kurtosis16.55680884
Mean1.397336064
Median Absolute Deviation (MAD)0
Skewness4.209982486
Sum169216
Variance2.203342587
MonotonicityNot monotonic
2024-05-29T00:27:25.503472image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 106991
87.7%
2 7653
 
6.3%
8 3720
 
3.0%
9 1253
 
1.0%
3 827
 
0.7%
4 288
 
0.2%
7 158
 
0.1%
5 111
 
0.1%
6 98
 
0.1%
(Missing) 932
 
0.8%
ValueCountFrequency (%)
1 106991
87.7%
2 7653
 
6.3%
3 827
 
0.7%
4 288
 
0.2%
5 111
 
0.1%
ValueCountFrequency (%)
9 1253
 
1.0%
8 3720
3.0%
7 158
 
0.1%
6 98
 
0.1%
5 111
 
0.1%

CRGVALZD
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing116620
Missing (%)95.6%
Memory size119.5 KiB
2.0
4449 
1.0
782 
7.0
 
135
9.0
 
45

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 4449
 
3.6%
1.0 782
 
0.6%
7.0 135
 
0.1%
9.0 45
 
< 0.1%
(Missing) 116620
95.6%

Common Values (Plot)

2024-05-29T00:27:25.875554image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVEXPT
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing99483
Missing (%)81.5%
Memory size119.5 KiB
2.0
18064 
1.0
2955 
7.0
 
1395
9.0
 
134

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 18064
 
14.8%
1.0 2955
 
2.4%
7.0 1395
 
1.1%
9.0 134
 
0.1%
(Missing) 99483
81.5%

Common Values (Plot)

2024-05-29T00:27:26.304141image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVHOU1
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing115909
Missing (%)95.0%
Memory size119.5 KiB
1.0
4786 
2.0
1284 
9.0
 
37
7.0
 
15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 4786
 
3.9%
2.0 1284
 
1.1%
9.0 37
 
< 0.1%
7.0 15
 
< 0.1%
(Missing) 115909
95.0%

Common Values (Plot)

2024-05-29T00:27:26.770713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVHRS1
Categorical

MISSING 

Distinct6
Distinct (%)0.1%
Missing115859
Missing (%)94.9%
Memory size119.5 KiB
1.0
3204 
4.0
1088 
2.0
802 
3.0
575 
7.0
447 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3204
 
2.6%
4.0 1088
 
0.9%
2.0 802
 
0.7%
3.0 575
 
0.5%
7.0 447
 
0.4%
9.0 56
 
< 0.1%
(Missing) 115859
94.9%

Common Values (Plot)

2024-05-29T00:27:27.284538image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVLNG1
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing115844
Missing (%)94.9%
Memory size119.6 KiB
5.0
1881 
4.0
1249 
3.0
1119 
1.0
1036 
2.0
760 
Other values (2)
 
142

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row4.0
3rd row4.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
5.0 1881
 
1.5%
4.0 1249
 
1.0%
3.0 1119
 
0.9%
1.0 1036
 
0.8%
2.0 760
 
0.6%
7.0 104
 
0.1%
9.0 38
 
< 0.1%
(Missing) 115844
94.9%

Common Values (Plot)

2024-05-29T00:27:27.838212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPER1
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing115899
Missing (%)95.0%
Memory size119.5 KiB
2.0
3245 
1.0
2829 
9.0
 
38
7.0
 
20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 3245
 
2.7%
1.0 2829
 
2.3%
9.0 38
 
< 0.1%
7.0 20
 
< 0.1%
(Missing) 115899
95.0%

Common Values (Plot)

2024-05-29T00:27:28.444916image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3
Categorical

MISSING 

Distinct17
Distinct (%)0.3%
Missing115877
Missing (%)95.0%
Memory size120.0 KiB
15.0
1612 
14.0
826 
5.0
734 
3.0
431 
8.0
405 
Other values (12)
2146 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15.0
2nd row10.0
3rd row5.0
4th row14.0
5th row15.0

Common Values

ValueCountFrequency (%)
15.0 1612
 
1.3%
14.0 826
 
0.7%
5.0 734
 
0.6%
3.0 431
 
0.4%
8.0 405
 
0.3%
13.0 357
 
0.3%
10.0 320
 
0.3%
6.0 301
 
0.2%
7.0 245
 
0.2%
1.0 187
 
0.2%
Other values (7) 736
 
0.6%
(Missing) 115877
95.0%

CRGVREL4
Categorical

MISSING 

Distinct17
Distinct (%)0.3%
Missing115828
Missing (%)94.9%
Memory size120.0 KiB
1.0
1250 
15.0
1009 
6.0
663 
5.0
645 
7.0
612 
Other values (12)
2024 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row7.0
4th row1.0
5th row15.0

Common Values

ValueCountFrequency (%)
1.0 1250
 
1.0%
15.0 1009
 
0.8%
6.0 663
 
0.5%
5.0 645
 
0.5%
7.0 612
 
0.5%
2.0 426
 
0.3%
14.0 338
 
0.3%
10.0 266
 
0.2%
3.0 234
 
0.2%
9.0 197
 
0.2%
Other values (7) 563
 
0.5%
(Missing) 115828
94.9%

CRVCLCNC
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing84490
Missing (%)69.2%
Memory size119.6 KiB
1.0
10807 
5.0
10272 
2.0
6341 
3.0
4309 
4.0
3976 
Other values (2)
1836 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row1.0
3rd row3.0
4th row5.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 10807
 
8.9%
5.0 10272
 
8.4%
2.0 6341
 
5.2%
3.0 4309
 
3.5%
4.0 3976
 
3.3%
7.0 1732
 
1.4%
9.0 104
 
0.1%
(Missing) 84490
69.2%

Common Values (Plot)

2024-05-29T00:27:28.986430image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRVCLHPV
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing84600
Missing (%)69.3%
Memory size119.5 KiB
2.0
13415 
1.0
12301 
7.0
11629 
9.0
 
86

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row2.0
3rd row1.0
4th row2.0
5th row7.0

Common Values

ValueCountFrequency (%)
2.0 13415
 
11.0%
1.0 12301
 
10.1%
7.0 11629
 
9.5%
9.0 86
 
0.1%
(Missing) 84600
69.3%

Common Values (Plot)

2024-05-29T00:27:29.362038image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRVCLPAP
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing84544
Missing (%)69.3%
Memory size119.5 KiB
1.0
34220 
2.0
 
2226
7.0
 
970
9.0
 
71

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 34220
28.0%
2.0 2226
 
1.8%
7.0 970
 
0.8%
9.0 71
 
0.1%
(Missing) 84544
69.3%

Common Values (Plot)

2024-05-29T00:27:29.820151image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVCLIN
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing117778
Missing (%)96.5%
Memory size119.5 KiB
2.0
4001 
1.0
 
193
7.0
 
49
9.0
 
10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 4001
 
3.3%
1.0 193
 
0.2%
7.0 49
 
< 0.1%
9.0 10
 
< 0.1%
(Missing) 117778
96.5%

Common Values (Plot)

2024-05-29T00:27:30.293997image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVCTL2
Categorical

MISSING 

Distinct6
Distinct (%)0.9%
Missing121365
Missing (%)99.5%
Memory size119.5 KiB
1.0
247 
2.0
246 
4.0
90 
3.0
54 
7.0
25 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 247
 
0.2%
2.0 246
 
0.2%
4.0 90
 
0.1%
3.0 54
 
< 0.1%
7.0 25
 
< 0.1%
9.0 4
 
< 0.1%
(Missing) 121365
99.5%

Common Values (Plot)

2024-05-29T00:27:30.733156image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDEIN
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing117774
Missing (%)96.5%
Memory size119.5 KiB
2.0
4022 
1.0
 
205
7.0
 
21
9.0
 
9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 4022
 
3.3%
1.0 205
 
0.2%
7.0 21
 
< 0.1%
9.0 9
 
< 0.1%
(Missing) 117774
96.5%

Common Values (Plot)

2024-05-29T00:27:31.248193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDOC1
Categorical

MISSING 

Distinct12
Distinct (%)0.3%
Missing117745
Missing (%)96.5%
Memory size119.7 KiB
2.0
1741 
5.0
1169 
10.0
653 
7.0
184 
1.0
 
120
Other values (7)
419 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 1741
 
1.4%
5.0 1169
 
1.0%
10.0 653
 
0.5%
7.0 184
 
0.2%
1.0 120
 
0.1%
77.0 107
 
0.1%
4.0 101
 
0.1%
9.0 73
 
0.1%
3.0 57
 
< 0.1%
8.0 38
 
< 0.1%
Other values (2) 43
 
< 0.1%
(Missing) 117745
96.5%

CSRVINSR
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing117769
Missing (%)96.5%
Memory size119.5 KiB
1.0
4067 
2.0
 
134
7.0
 
44
9.0
 
17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row7.0

Common Values

ValueCountFrequency (%)
1.0 4067
 
3.3%
2.0 134
 
0.1%
7.0 44
 
< 0.1%
9.0 17
 
< 0.1%
(Missing) 117769
96.5%

Common Values (Plot)

2024-05-29T00:27:31.738302image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVINST
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing118840
Missing (%)97.4%
Memory size119.5 KiB
1.0
2264 
2.0
676 
7.0
248 
9.0
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 2264
 
1.9%
2.0 676
 
0.6%
7.0 248
 
0.2%
9.0 3
 
< 0.1%
(Missing) 118840
97.4%

Common Values (Plot)

2024-05-29T00:27:32.215669image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVPAIN
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing113988
Missing (%)93.4%
Memory size119.5 KiB
2.0
7227 
1.0
 
668
9.0
 
98
7.0
 
50

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 7227
 
5.9%
1.0 668
 
0.5%
9.0 98
 
0.1%
7.0 50
 
< 0.1%
(Missing) 113988
93.4%

Common Values (Plot)

2024-05-29T00:27:32.637739image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVRTRN
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing117762
Missing (%)96.5%
Memory size119.5 KiB
1.0
3196 
2.0
959 
7.0
 
88
9.0
 
26

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 3196
 
2.6%
2.0 959
 
0.8%
7.0 88
 
0.1%
9.0 26
 
< 0.1%
(Missing) 117762
96.5%

Common Values (Plot)

2024-05-29T00:27:33.556561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVSUM
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing117755
Missing (%)96.5%
Memory size119.5 KiB
2.0
2158 
1.0
1803 
7.0
301 
9.0
 
14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 2158
 
1.8%
1.0 1803
 
1.5%
7.0 301
 
0.2%
9.0 14
 
< 0.1%
(Missing) 117755
96.5%

Common Values (Plot)

2024-05-29T00:27:34.055148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVTRT3
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing114432
Missing (%)93.8%
Memory size119.6 KiB
2.0
4296 
5.0
1830 
1.0
885 
4.0
 
276
7.0
 
144
Other values (2)
 
168

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 4296
 
3.5%
5.0 1830
 
1.5%
1.0 885
 
0.7%
4.0 276
 
0.2%
7.0 144
 
0.1%
9.0 116
 
0.1%
3.0 52
 
< 0.1%
(Missing) 114432
93.8%

Common Values (Plot)

2024-05-29T00:27:34.594558image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSTATE1
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing27413
Missing (%)22.5%
Memory size119.4 KiB
1.0
90119 
2.0
 
4499

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 90119
73.8%
2.0 4499
 
3.7%
(Missing) 27413
 
22.5%

Common Values (Plot)

2024-05-29T00:27:34.916146image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CTELENM1
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing94618
Missing (%)77.5%
Memory size119.4 KiB
1.0
27411 
2.0
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 27411
 
22.5%
2.0 2
 
< 0.1%
(Missing) 94618
77.5%

Common Values (Plot)

2024-05-29T00:27:35.121730image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CTELNUM1
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing27413
Missing (%)22.5%
Memory size119.4 KiB
1.0
94618 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 94618
77.5%
(Missing) 27413
 
22.5%

Common Values (Plot)

2024-05-29T00:27:35.304426image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CVDCRHD4
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
2.0
113349 
1.0
 
7501
7.0
 
1082
9.0
 
99

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 113349
92.9%
1.0 7501
 
6.1%
7.0 1082
 
0.9%
9.0 99
 
0.1%

Common Values (Plot)

2024-05-29T00:27:35.518006image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CVDINFR4
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size119.5 KiB
2.0
114092 
1.0
 
7119
7.0
 
731
9.0
 
88

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 114092
93.5%
1.0 7119
 
5.8%
7.0 731
 
0.6%
9.0 88
 
0.1%
(Missing) 1
 
< 0.1%

Common Values (Plot)

2024-05-29T00:27:35.772972image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CVDSTRK3
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
2.0
116125 
1.0
 
5488
7.0
 
345
9.0
 
73

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 116125
95.2%
1.0 5488
 
4.5%
7.0 345
 
0.3%
9.0 73
 
0.1%

Common Values (Plot)

2024-05-29T00:27:36.012494image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DEAF
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing5480
Missing (%)4.5%
Memory size119.5 KiB
2.0
105140 
1.0
10792 
7.0
 
392
9.0
 
227

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 105140
86.2%
1.0 10792
 
8.8%
7.0 392
 
0.3%
9.0 227
 
0.2%
(Missing) 5480
 
4.5%

Common Values (Plot)

2024-05-29T00:27:36.265506image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DECIDE
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing6153
Missing (%)5.0%
Memory size119.5 KiB
2.0
101323 
1.0
13598 
7.0
 
663
9.0
 
294

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 101323
83.0%
1.0 13598
 
11.1%
7.0 663
 
0.5%
9.0 294
 
0.2%
(Missing) 6153
 
5.0%

Common Values (Plot)

2024-05-29T00:27:36.510178image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIABAGE4
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)0.6%
Missing105362
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean53.29665847
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:36.763387image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24
Q141
median52
Q362
95-th percentile98
Maximum99
Range98
Interquartile range (IQR)21

Descriptive statistics

Standard deviation18.63581868
Coefficient of variation (CV)0.3496620467
Kurtosis0.6884189347
Mean53.29665847
Median Absolute Deviation (MAD)10
Skewness0.401738982
Sum888402
Variance347.2937379
MonotonicityNot monotonic
2024-05-29T00:27:37.064013image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 1550
 
1.3%
60 1256
 
1.0%
40 1021
 
0.8%
98 1005
 
0.8%
55 981
 
0.8%
45 784
 
0.6%
65 712
 
0.6%
35 433
 
0.4%
70 427
 
0.3%
30 389
 
0.3%
Other values (86) 8111
 
6.6%
(Missing) 105362
86.3%
ValueCountFrequency (%)
1 12
< 0.1%
2 7
 
< 0.1%
3 9
 
< 0.1%
4 11
< 0.1%
5 23
< 0.1%
ValueCountFrequency (%)
99 109
 
0.1%
98 1005
0.8%
96 1
 
< 0.1%
94 1
 
< 0.1%
92 2
 
< 0.1%

DIABEDU1
Categorical

MISSING 

Distinct9
Distinct (%)0.1%
Missing114844
Missing (%)94.1%
Memory size119.7 KiB
8.0
3417 
6.0
979 
1.0
707 
4.0
522 
5.0
493 
Other values (4)
1069 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row5.0
3rd row7.0
4th row8.0
5th row9.0

Common Values

ValueCountFrequency (%)
8.0 3417
 
2.8%
6.0 979
 
0.8%
1.0 707
 
0.6%
4.0 522
 
0.4%
5.0 493
 
0.4%
2.0 401
 
0.3%
7.0 325
 
0.3%
3.0 323
 
0.3%
9.0 20
 
< 0.1%
(Missing) 114844
94.1%

Common Values (Plot)

2024-05-29T00:27:37.436610image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIABETE4
Categorical

IMBALANCE 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
3.0
101355 
1.0
16669 
4.0
 
2632
2.0
 
1094
7.0
 
197

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row3.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 101355
83.1%
1.0 16669
 
13.7%
4.0 2632
 
2.2%
2.0 1094
 
0.9%
7.0 197
 
0.2%
9.0 84
 
0.1%

Common Values (Plot)

2024-05-29T00:27:37.754363image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIABEYE1
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing114844
Missing (%)94.1%
Memory size119.6 KiB
2.0
2677 
1.0
1403 
7.0
900 
3.0
799 
4.0
761 
Other values (2)
647 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 2677
 
2.2%
1.0 1403
 
1.1%
7.0 900
 
0.7%
3.0 799
 
0.7%
4.0 761
 
0.6%
8.0 639
 
0.5%
9.0 8
 
< 0.1%
(Missing) 114844
94.1%

Common Values (Plot)

2024-05-29T00:27:38.080224image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIABTYPE
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing114844
Missing (%)94.1%
Memory size119.5 KiB
2.0
6027 
1.0
 
585
7.0
 
558
9.0
 
17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row2.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 6027
 
4.9%
1.0 585
 
0.5%
7.0 558
 
0.5%
9.0 17
 
< 0.1%
(Missing) 114844
94.1%

Common Values (Plot)

2024-05-29T00:27:38.373715image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIFFALON
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing7013
Missing (%)5.7%
Memory size119.5 KiB
2.0
105905 
1.0
 
8567
7.0
 
338
9.0
 
208

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 105905
86.8%
1.0 8567
 
7.0%
7.0 338
 
0.3%
9.0 208
 
0.2%
(Missing) 7013
 
5.7%

Common Values (Plot)

2024-05-29T00:27:38.610609image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIFFDRES
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing6711
Missing (%)5.5%
Memory size119.5 KiB
2.0
110575 
1.0
 
4415
9.0
 
175
7.0
 
155

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 110575
90.6%
1.0 4415
 
3.6%
9.0 175
 
0.1%
7.0 155
 
0.1%
(Missing) 6711
 
5.5%

Common Values (Plot)

2024-05-29T00:27:38.857038image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIFFWALK
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing6483
Missing (%)5.3%
Memory size119.5 KiB
2.0
96482 
1.0
18507 
7.0
 
373
9.0
 
186

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row7.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 96482
79.1%
1.0 18507
 
15.2%
7.0 373
 
0.3%
9.0 186
 
0.2%
(Missing) 6483
 
5.3%

Common Values (Plot)

2024-05-29T00:27:39.088449image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DISPCODE
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.4 KiB
1100
95042 
1200
26989 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1100
2nd row1100
3rd row1100
4th row1100
5th row1100

Common Values

ValueCountFrequency (%)
1100 95042
77.9%
1200 26989
 
22.1%

Common Values (Plot)

2024-05-29T00:27:39.313114image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DRNK3GE5
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)0.1%
Missing65985
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean66.26836884
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:39.539063image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q130
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)58

Descriptive statistics

Standard deviation36.55559427
Coefficient of variation (CV)0.5516296071
Kurtosis-0.7190222574
Mean66.26836884
Median Absolute Deviation (MAD)0
Skewness-1.115407516
Sum3714077
Variance1336.311472
MonotonicityNot monotonic
2024-05-29T00:27:39.801475image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
88 40460
33.2%
1 4928
 
4.0%
2 2912
 
2.4%
4 1386
 
1.1%
3 1378
 
1.1%
5 1016
 
0.8%
77 815
 
0.7%
30 674
 
0.6%
10 477
 
0.4%
8 365
 
0.3%
Other values (28) 1635
 
1.3%
(Missing) 65985
54.1%
ValueCountFrequency (%)
1 4928
4.0%
2 2912
2.4%
3 1378
 
1.1%
4 1386
 
1.1%
5 1016
 
0.8%
ValueCountFrequency (%)
99 179
 
0.1%
88 40460
33.2%
77 815
 
0.7%
76 3
 
< 0.1%
70 1
 
< 0.1%

DRNKANY6
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
1
56339 
2
52099 
9
12634 
7
 
959

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 56339
46.2%
2 52099
42.7%
9 12634
 
10.4%
7 959
 
0.8%

Common Values (Plot)

2024-05-29T00:27:40.101509image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DROCDY4_
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean116.0710153
Minimum0
Maximum900
Zeros52099
Zeros (%)42.7%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:40.354457image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q343
95-th percentile900
Maximum900
Range900
Interquartile range (IQR)43

Descriptive statistics

Standard deviation278.8871701
Coefficient of variation (CV)2.402728789
Kurtosis3.973261887
Mean116.0710153
Median Absolute Deviation (MAD)7
Skewness2.426834845
Sum14164146
Variance77778.05363
MonotonicityNot monotonic
2024-05-29T00:27:40.603451image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 52099
42.7%
900 13593
 
11.1%
3 7805
 
6.4%
100 6526
 
5.3%
7 6205
 
5.1%
14 5087
 
4.2%
29 4136
 
3.4%
10 3610
 
3.0%
43 3199
 
2.6%
13 2792
 
2.3%
Other values (26) 16978
 
13.9%
ValueCountFrequency (%)
0 52099
42.7%
3 7805
 
6.4%
7 6205
 
5.1%
10 3610
 
3.0%
13 2792
 
2.3%
ValueCountFrequency (%)
900 13593
11.1%
100 6526
5.3%
97 93
 
0.1%
93 272
 
0.2%
90 97
 
0.1%

ECIGNOW2
Categorical

IMBALANCE  MISSING 

Distinct6
Distinct (%)< 0.1%
Missing9875
Missing (%)8.1%
Memory size119.5 KiB
1.0
84785 
4.0
20894 
3.0
 
3087
2.0
 
2702
9.0
 
369

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row4.0
3rd row1.0
4th row4.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 84785
69.5%
4.0 20894
 
17.1%
3.0 3087
 
2.5%
2.0 2702
 
2.2%
9.0 369
 
0.3%
7.0 319
 
0.3%
(Missing) 9875
 
8.1%

Common Values (Plot)

2024-05-29T00:27:40.882500image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EDUCA
Categorical

Distinct7
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size119.6 KiB
6.0
51533 
5.0
33325 
4.0
29875 
3.0
 
4475
2.0
 
1999
Other values (2)
 
823

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6.0
2nd row6.0
3rd row6.0
4th row6.0
5th row6.0

Common Values

ValueCountFrequency (%)
6.0 51533
42.2%
5.0 33325
27.3%
4.0 29875
24.5%
3.0 4475
 
3.7%
2.0 1999
 
1.6%
9.0 664
 
0.5%
1.0 159
 
0.1%
(Missing) 1
 
< 0.1%

Common Values (Plot)

2024-05-29T00:27:41.179462image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EMPLOY1
Categorical

MISSING 

Distinct9
Distinct (%)< 0.1%
Missing1905
Missing (%)1.6%
Memory size119.7 KiB
1.0
49084 
7.0
39802 
2.0
10564 
8.0
7416 
5.0
 
4779
Other values (4)
8481 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row2.0
3rd row7.0
4th row7.0
5th row7.0

Common Values

ValueCountFrequency (%)
1.0 49084
40.2%
7.0 39802
32.6%
2.0 10564
 
8.7%
8.0 7416
 
6.1%
5.0 4779
 
3.9%
6.0 2705
 
2.2%
3.0 2212
 
1.8%
4.0 2055
 
1.7%
9.0 1509
 
1.2%
(Missing) 1905
 
1.6%

Common Values (Plot)

2024-05-29T00:27:41.491599image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EMTSUPRT
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing39266
Missing (%)32.2%
Memory size119.6 KiB
1.0
38956 
2.0
25816 
3.0
10614 
4.0
 
3426
5.0
 
2733
Other values (2)
 
1220

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row3.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 38956
31.9%
2.0 25816
21.2%
3.0 10614
 
8.7%
4.0 3426
 
2.8%
5.0 2733
 
2.2%
7.0 795
 
0.7%
9.0 425
 
0.3%
(Missing) 39266
32.2%

Common Values (Plot)

2024-05-29T00:27:41.824699image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EXERANY2
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
1.0
93061 
2.0
28593 
7.0
 
256
9.0
 
121

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 93061
76.3%
2.0 28593
 
23.4%
7.0 256
 
0.2%
9.0 121
 
0.1%

Common Values (Plot)

2024-05-29T00:27:42.120042image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EYEEXAM1
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing114844
Missing (%)94.1%
Memory size119.6 KiB
2.0
3155 
1.0
1869 
3.0
939 
4.0
831 
8.0
 
242
Other values (2)
 
151

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 3155
 
2.6%
1.0 1869
 
1.5%
3.0 939
 
0.8%
4.0 831
 
0.7%
8.0 242
 
0.2%
7.0 146
 
0.1%
9.0 5
 
< 0.1%
(Missing) 114844
94.1%

Common Values (Plot)

2024-05-29T00:27:42.394949image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FEETSORE
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing114844
Missing (%)94.1%
Memory size119.5 KiB
2.0
6487 
1.0
674 
7.0
 
23
9.0
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 6487
 
5.3%
1.0 674
 
0.6%
7.0 23
 
< 0.1%
9.0 3
 
< 0.1%
(Missing) 114844
94.1%

Common Values (Plot)

2024-05-29T00:27:42.679272image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FIREARM5
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing111546
Missing (%)91.4%
Memory size119.5 KiB
2.0
6358 
1.0
3363 
9.0
697 
7.0
 
67

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 6358
 
5.2%
1.0 3363
 
2.8%
9.0 697
 
0.6%
7.0 67
 
0.1%
(Missing) 111546
91.4%

Common Values (Plot)

2024-05-29T00:27:42.918367image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FLSHTMY3
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)0.1%
Missing64471
Missing (%)52.8%
Infinite0
Infinite (%)0.0%
Mean152746.0367
Minimum2022
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:43.164157image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2022
5-th percentile22022
Q192022
median102021
Q3112021
95-th percentile777777
Maximum999999
Range997977
Interquartile range (IQR)19999

Descriptive statistics

Standard deviation195841.5193
Coefficient of variation (CV)1.282138139
Kurtosis6.530697571
Mean152746.0367
Median Absolute Deviation (MAD)10000
Skewness2.866391658
Sum8792061874
Variance3.835390066 × 1010
MonotonicityNot monotonic
2024-05-29T00:27:43.451437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
102021 13873
 
11.4%
112021 7187
 
5.9%
102022 7121
 
5.8%
92021 5682
 
4.7%
777777 4833
 
4.0%
92022 3588
 
2.9%
112022 2974
 
2.4%
122021 2869
 
2.4%
12022 2273
 
1.9%
22022 1482
 
1.2%
Other values (21) 5678
 
4.7%
(Missing) 64471
52.8%
ValueCountFrequency (%)
2022 1
 
< 0.1%
12021 41
 
< 0.1%
12022 2273
1.9%
12023 36
 
< 0.1%
22020 1
 
< 0.1%
ValueCountFrequency (%)
999999 129
 
0.1%
997777 1
 
< 0.1%
779999 1
 
< 0.1%
777777 4833
4.0%
122022 706
 
0.6%

FLUSHOT7
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing12727
Missing (%)10.4%
Memory size119.5 KiB
1.0
57656 
2.0
50577 
7.0
 
713
9.0
 
358

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 57656
47.2%
2.0 50577
41.4%
7.0 713
 
0.6%
9.0 358
 
0.3%
(Missing) 12727
 
10.4%

Common Values (Plot)

2024-05-29T00:27:43.722698image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH
Categorical

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.7 KiB
11
13088 
10
12744 
8
11151 
9
10814 
1
10008 
Other values (7)
64226 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
11 13088
10.7%
10 12744
10.4%
8 11151
9.1%
9 10814
8.9%
1 10008
8.2%
12 9990
8.2%
3 9803
8.0%
7 9523
7.8%
6 9395
7.7%
2 8898
7.3%
Other values (2) 16617
13.6%

FOODSTMP
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing39528
Missing (%)32.4%
Memory size119.5 KiB
2.0
74777 
1.0
 
7244
9.0
 
254
7.0
 
228

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 74777
61.3%
1.0 7244
 
5.9%
9.0 254
 
0.2%
7.0 228
 
0.2%
(Missing) 39528
32.4%

Common Values (Plot)

2024-05-29T00:27:43.983266image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

GENHLTH
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.6 KiB
2.0
41484 
3.0
38685 
1.0
20113 
4.0
16050 
5.0
5385 
Other values (2)
 
314

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row3.0
4th row1.0
5th row4.0

Common Values

ValueCountFrequency (%)
2.0 41484
34.0%
3.0 38685
31.7%
1.0 20113
16.5%
4.0 16050
 
13.2%
5.0 5385
 
4.4%
7.0 204
 
0.2%
9.0 110
 
0.1%

Common Values (Plot)

2024-05-29T00:27:44.302682image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

GUNLOAD
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing118670
Missing (%)97.2%
Memory size119.5 KiB
2.0
2045 
1.0
1210 
7.0
 
88
9.0
 
18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row1.0
3rd row2.0
4th row7.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 2045
 
1.7%
1.0 1210
 
1.0%
7.0 88
 
0.1%
9.0 18
 
< 0.1%
(Missing) 118670
97.2%

Common Values (Plot)

2024-05-29T00:27:44.587879image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HADHYST2
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing62272
Missing (%)51.0%
Memory size119.5 KiB
2.0
43181 
1.0
16174 
9.0
 
260
7.0
 
144

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 43181
35.4%
1.0 16174
 
13.3%
9.0 260
 
0.2%
7.0 144
 
0.1%
(Missing) 62272
51.0%

Common Values (Plot)

2024-05-29T00:27:44.925095image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HADMAM
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing61180
Missing (%)50.1%
Memory size119.5 KiB
1.0
47715 
2.0
12779 
9.0
 
210
7.0
 
147

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 47715
39.1%
2.0 12779
 
10.5%
9.0 210
 
0.2%
7.0 147
 
0.1%
(Missing) 61180
50.1%

Common Values (Plot)

2024-05-29T00:27:45.402442image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HADSEX
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing112864
Missing (%)92.5%
Memory size119.5 KiB
1.0
6850 
2.0
1902 
9.0
 
380
7.0
 
35

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row1.0
5th row9.0

Common Values

ValueCountFrequency (%)
1.0 6850
 
5.6%
2.0 1902
 
1.6%
9.0 380
 
0.3%
7.0 35
 
< 0.1%
(Missing) 112864
92.5%

Common Values (Plot)

2024-05-29T00:27:45.918973image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HADSIGM4
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing40139
Missing (%)32.9%
Memory size119.5 KiB
1.0
60907 
2.0
20053 
7.0
 
515
9.0
 
417

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 60907
49.9%
2.0 20053
 
16.4%
7.0 515
 
0.4%
9.0 417
 
0.3%
(Missing) 40139
32.9%

Common Values (Plot)

2024-05-29T00:27:47.230910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HAVARTH4
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
2.0
78475 
1.0
42864 
7.0
 
597
9.0
 
95

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 78475
64.3%
1.0 42864
35.1%
7.0 597
 
0.5%
9.0 95
 
0.1%

Common Values (Plot)

2024-05-29T00:27:48.136898image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HAVECFS
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122031
Missing (%)100.0%
Memory size953.5 KiB

HEATTBCO
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing119103
Missing (%)97.6%
Memory size119.5 KiB
2.0
2529 
1.0
367 
7.0
 
29
9.0
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 2529
 
2.1%
1.0 367
 
0.3%
7.0 29
 
< 0.1%
9.0 3
 
< 0.1%
(Missing) 119103
97.6%

Common Values (Plot)

2024-05-29T00:27:48.630515image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HEIGHT3
Real number (ℝ)

MISSING 

Distinct125
Distinct (%)0.1%
Missing5040
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean831.0917763
Minimum300
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:49.401601image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum300
5-th percentile501
Q1504
median507
Q3511
95-th percentile604
Maximum9999
Range9699
Interquartile range (IQR)7

Descriptive statistics

Standard deviation1622.19487
Coefficient of variation (CV)1.951884155
Kurtosis24.13958561
Mean831.0917763
Median Absolute Deviation (MAD)3
Skewness5.082920562
Sum97230258
Variance2631516.195
MonotonicityNot monotonic
2024-05-29T00:27:49.964187image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
506 9964
 
8.2%
504 9632
 
7.9%
507 9125
 
7.5%
510 8930
 
7.3%
505 8905
 
7.3%
508 8673
 
7.1%
600 7915
 
6.5%
509 7877
 
6.5%
503 7763
 
6.4%
502 7176
 
5.9%
Other values (115) 31031
25.4%
ValueCountFrequency (%)
300 10
< 0.1%
302 2
 
< 0.1%
304 1
 
< 0.1%
305 3
 
< 0.1%
306 4
 
< 0.1%
ValueCountFrequency (%)
9999 2088
1.7%
9505 1
 
< 0.1%
9254 1
 
< 0.1%
9207 1
 
< 0.1%
9205 1
 
< 0.1%

HHADULT
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)< 0.1%
Missing27413
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean3.213669703
Minimum0
Maximum99
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:50.507234image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.65946449
Coefficient of variation (CV)3.005742774
Kurtosis87.00007048
Mean3.213669703
Median Absolute Deviation (MAD)1
Skewness9.336325123
Sum304071
Variance93.30525423
MonotonicityNot monotonic
2024-05-29T00:27:50.935461image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2 46677
38.3%
1 21643
17.7%
3 15278
 
12.5%
4 6621
 
5.4%
5 2195
 
1.8%
99 795
 
0.7%
6 689
 
0.6%
77 239
 
0.2%
7 211
 
0.2%
8 107
 
0.1%
Other values (20) 163
 
0.1%
(Missing) 27413
22.5%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 21643
17.7%
2 46677
38.3%
3 15278
 
12.5%
4 6621
 
5.4%
ValueCountFrequency (%)
99 795
0.7%
88 2
 
< 0.1%
77 239
 
0.2%
53 1
 
< 0.1%
51 1
 
< 0.1%

HIVRISK5
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing14078
Missing (%)11.5%
Memory size119.5 KiB
2.0
102783 
1.0
 
4468
9.0
 
571
7.0
 
131

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 102783
84.2%
1.0 4468
 
3.7%
9.0 571
 
0.5%
7.0 131
 
0.1%
(Missing) 14078
 
11.5%

Common Values (Plot)

2024-05-29T00:27:51.198576image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HIVTST7
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing13447
Missing (%)11.0%
Memory size119.5 KiB
2.0
68363 
1.0
34316 
7.0
 
5605
9.0
 
300

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 68363
56.0%
1.0 34316
28.1%
7.0 5605
 
4.6%
9.0 300
 
0.2%
(Missing) 13447
 
11.0%

Common Values (Plot)

2024-05-29T00:27:51.445064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HIVTSTD3
Real number (ℝ)

MISSING 

Distinct498
Distinct (%)1.5%
Missing87770
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean426425.6217
Minimum11985
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:51.690255image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum11985
5-th percentile12022
Q162021
median771989
Q3777777
95-th percentile777777
Maximum999999
Range988014
Interquartile range (IQR)715756

Descriptive statistics

Standard deviation357493.7368
Coefficient of variation (CV)0.8383495705
Kurtosis-1.969797634
Mean426425.6217
Median Absolute Deviation (MAD)5788
Skewness-0.03847315958
Sum1.460976823 × 1010
Variance1.278017719 × 1011
MonotonicityNot monotonic
2024-05-29T00:27:51.994169image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
777777 9603
 
7.9%
772021 675
 
0.6%
772020 509
 
0.4%
772019 475
 
0.4%
12022 459
 
0.4%
772018 445
 
0.4%
772012 438
 
0.4%
22022 409
 
0.3%
32022 405
 
0.3%
112021 398
 
0.3%
Other values (488) 20445
 
16.8%
(Missing) 87770
71.9%
ValueCountFrequency (%)
11985 26
< 0.1%
11986 3
 
< 0.1%
11987 3
 
< 0.1%
11988 6
 
< 0.1%
11989 8
 
< 0.1%
ValueCountFrequency (%)
999999 151
 
0.1%
777777 9603
7.9%
772023 2
 
< 0.1%
772022 175
 
0.1%
772021 675
 
0.6%

HOWLONG
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing74464
Missing (%)61.0%
Memory size119.6 KiB
1.0
27035 
2.0
8276 
5.0
5085 
3.0
3498 
4.0
2734 
Other values (2)
 
939

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 27035
 
22.2%
2.0 8276
 
6.8%
5.0 5085
 
4.2%
3.0 3498
 
2.9%
4.0 2734
 
2.2%
7.0 848
 
0.7%
9.0 91
 
0.1%
(Missing) 74464
61.0%

Common Values (Plot)

2024-05-29T00:27:52.290341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HPVADSHT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122031
Missing (%)100.0%
Memory size119.4 KiB

HPVADVC4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122031
Missing (%)100.0%
Memory size119.4 KiB

HTIN4
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)< 0.1%
Missing9233
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean67.09468253
Minimum36
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:52.562916image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile61
Q164
median67
Q370
95-th percentile74
Maximum95
Range59
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.180426802
Coefficient of variation (CV)0.06230638025
Kurtosis0.08959946187
Mean67.09468253
Median Absolute Deviation (MAD)3
Skewness0.05236757846
Sum7568146
Variance17.47596825
MonotonicityNot monotonic
2024-05-29T00:27:52.834997image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66 9964
 
8.2%
64 9632
 
7.9%
67 9125
 
7.5%
70 8930
 
7.3%
65 8905
 
7.3%
68 8673
 
7.1%
72 7915
 
6.5%
69 7877
 
6.5%
63 7763
 
6.4%
62 7176
 
5.9%
Other values (42) 26838
22.0%
(Missing) 9233
 
7.6%
ValueCountFrequency (%)
36 10
< 0.1%
38 2
 
< 0.1%
40 1
 
< 0.1%
41 3
 
< 0.1%
42 4
 
< 0.1%
ValueCountFrequency (%)
95 1
< 0.1%
92 1
< 0.1%
90 2
< 0.1%
89 2
< 0.1%
87 2
< 0.1%

HTM4
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)0.1%
Missing8297
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean170.3702411
Minimum91
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:53.128298image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum91
5-th percentile155
Q1163
median170
Q3178
95-th percentile188
Maximum241
Range150
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.69204077
Coefficient of variation (CV)0.06275767824
Kurtosis0.3237969923
Mean170.3702411
Median Absolute Deviation (MAD)8
Skewness-0.003134370548
Sum19376889
Variance114.3197359
MonotonicityNot monotonic
2024-05-29T00:27:53.414807image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
168 9999
 
8.2%
163 9654
 
7.9%
170 9214
 
7.6%
165 8969
 
7.3%
178 8945
 
7.3%
173 8695
 
7.1%
183 7921
 
6.5%
175 7921
 
6.5%
160 7850
 
6.4%
157 7195
 
5.9%
Other values (83) 27371
22.4%
(Missing) 8297
 
6.8%
ValueCountFrequency (%)
91 10
< 0.1%
97 2
 
< 0.1%
102 2
 
< 0.1%
103 2
 
< 0.1%
104 7
< 0.1%
ValueCountFrequency (%)
241 1
< 0.1%
234 1
< 0.1%
229 2
< 0.1%
226 2
< 0.1%
221 2
< 0.1%

IDATE
Real number (ℝ)

Distinct401
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6844750.784
Minimum1012023
Maximum12312022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:53.747723image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1012023
5-th percentile1182022
Q14012022
median7102022
Q310112022
95-th percentile12152022
Maximum12312022
Range11299999
Interquartile range (IQR)6100000

Descriptive statistics

Standard deviation3551009.117
Coefficient of variation (CV)0.5187930472
Kurtosis-1.274941496
Mean6844750.784
Median Absolute Deviation (MAD)3050000
Skewness-0.05704292516
Sum8.352717829 × 1011
Variance1.260966575 × 1013
MonotonicityNot monotonic
2024-05-29T00:27:54.043822image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12202022 667
 
0.5%
12132022 604
 
0.5%
12122022 595
 
0.5%
12152022 585
 
0.5%
11222022 583
 
0.5%
12142022 569
 
0.5%
12192022 564
 
0.5%
10112022 562
 
0.5%
11292022 559
 
0.5%
11152022 558
 
0.5%
Other values (391) 116185
95.2%
ValueCountFrequency (%)
1012023 20
 
< 0.1%
1022023 415
0.3%
1032023 487
0.4%
1042022 9
 
< 0.1%
1042023 444
0.4%
ValueCountFrequency (%)
12312022 185
 
0.2%
12302022 303
0.2%
12292022 417
0.3%
12282022 482
0.4%
12272022 486
0.4%

IDAY
Categorical

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size120.6 KiB
9
 
4940
12
 
4637
16
 
4613
8
 
4549
15
 
4529
Other values (26)
98763 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row22
2nd row24
3rd row20
4th row3
5th row24

Common Values

ValueCountFrequency (%)
9 4940
 
4.0%
12 4637
 
3.8%
16 4613
 
3.8%
8 4549
 
3.7%
15 4529
 
3.7%
10 4476
 
3.7%
21 4387
 
3.6%
13 4376
 
3.6%
19 4356
 
3.6%
14 4319
 
3.5%
Other values (21) 76849
63.0%

IMFVPLA3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122031
Missing (%)100.0%
Memory size119.4 KiB

IMONTH
Categorical

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.7 KiB
12
12547 
11
11496 
3
10991 
9
10883 
1
10411 
Other values (7)
65703 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row3
5th row2

Common Values

ValueCountFrequency (%)
12 12547
10.3%
11 11496
9.4%
3 10991
9.0%
9 10883
8.9%
1 10411
8.5%
8 10160
8.3%
10 9823
8.0%
5 9656
7.9%
6 9504
7.8%
4 9236
7.6%
Other values (2) 17324
14.2%

INCOME3
Categorical

MISSING 

Distinct13
Distinct (%)< 0.1%
Missing3818
Missing (%)3.1%
Memory size119.9 KiB
7.0
16392 
99.0
13902 
9.0
13886 
8.0
13530 
6.0
12955 
Other values (8)
47548 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row7.0
3rd row9.0
4th row99.0
5th row6.0

Common Values

ValueCountFrequency (%)
7.0 16392
13.4%
99.0 13902
11.4%
9.0 13886
11.4%
8.0 13530
11.1%
6.0 12955
10.6%
5.0 11729
9.6%
77.0 9872
8.1%
10.0 5910
 
4.8%
11.0 5887
 
4.8%
4.0 5369
 
4.4%
Other values (3) 8781
7.2%
(Missing) 3818
 
3.1%

INSULIN1
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing114844
Missing (%)94.1%
Memory size119.5 KiB
2.0
4805 
1.0
2354 
7.0
 
25
9.0
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 4805
 
3.9%
1.0 2354
 
1.9%
7.0 25
 
< 0.1%
9.0 3
 
< 0.1%
(Missing) 114844
94.1%

Common Values (Plot)

2024-05-29T00:27:54.351274image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IYEAR
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.4 KiB
2022
115769 
2023
 
6262

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 115769
94.9%
2023 6262
 
5.1%

Common Values (Plot)

2024-05-29T00:27:54.610778image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LADULT1
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing94618
Missing (%)77.5%
Memory size119.4 KiB
1.0
27388 
2.0
 
25

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 27388
 
22.4%
2.0 25
 
< 0.1%
(Missing) 94618
77.5%

Common Values (Plot)

2024-05-29T00:27:54.818478image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LANDLINE
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing27413
Missing (%)22.5%
Memory size119.5 KiB
2.0
74215 
1.0
19975 
9.0
 
227
7.0
 
201

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 74215
60.8%
1.0 19975
 
16.4%
9.0 227
 
0.2%
7.0 201
 
0.2%
(Missing) 27413
 
22.5%

Common Values (Plot)

2024-05-29T00:27:55.020202image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LANDSEX1
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing109467
Missing (%)89.7%
Memory size119.5 KiB
2.0
8712 
1.0
3846 
9.0
 
3
7.0
 
2
3.0
 
1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 8712
 
7.1%
1.0 3846
 
3.2%
9.0 3
 
< 0.1%
7.0 2
 
< 0.1%
3.0 1
 
< 0.1%
(Missing) 109467
89.7%

Common Values (Plot)

2024-05-29T00:27:55.279911image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LASTDEN4
Categorical

Distinct7
Distinct (%)< 0.1%
Missing9
Missing (%)< 0.1%
Memory size119.6 KiB
1.0
82403 
2.0
12789 
3.0
12317 
4.0
12206 
7.0
 
1334
Other values (2)
 
973

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 82403
67.5%
2.0 12789
 
10.5%
3.0 12317
 
10.1%
4.0 12206
 
10.0%
7.0 1334
 
1.1%
8.0 765
 
0.6%
9.0 208
 
0.2%
(Missing) 9
 
< 0.1%

Common Values (Plot)

2024-05-29T00:27:55.580705image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LASTSIG4
Categorical

MISSING 

Distinct7
Distinct (%)0.7%
Missing121027
Missing (%)99.2%
Memory size119.6 KiB
3.0
238 
7.0
185 
1.0
170 
4.0
161 
2.0
127 
Other values (2)
123 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row7.0
3rd row7.0
4th row1.0
5th row7.0

Common Values

ValueCountFrequency (%)
3.0 238
 
0.2%
7.0 185
 
0.2%
1.0 170
 
0.1%
4.0 161
 
0.1%
2.0 127
 
0.1%
5.0 119
 
0.1%
9.0 4
 
< 0.1%
(Missing) 121027
99.2%

Common Values (Plot)

2024-05-29T00:27:55.896348image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LASTSMK2
Categorical

IMBALANCE  MISSING 

Distinct10
Distinct (%)0.1%
Missing106031
Missing (%)86.9%
Memory size119.7 KiB
7.0
10990 
5.0
1893 
6.0
1586 
4.0
 
443
1.0
 
348
Other values (5)
 
740

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row5.0
3rd row7.0
4th row7.0
5th row5.0

Common Values

ValueCountFrequency (%)
7.0 10990
 
9.0%
5.0 1893
 
1.6%
6.0 1586
 
1.3%
4.0 443
 
0.4%
1.0 348
 
0.3%
3.0 261
 
0.2%
2.0 257
 
0.2%
77.0 137
 
0.1%
8.0 63
 
0.1%
99.0 22
 
< 0.1%
(Missing) 106031
86.9%

Common Values (Plot)

2024-05-29T00:27:56.233248image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LCSCTSC1
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing11191
Missing (%)9.2%
Memory size119.5 KiB
2.0
60137 
1.0
45709 
7.0
 
4699
9.0
 
295

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 60137
49.3%
1.0 45709
37.5%
7.0 4699
 
3.9%
9.0 295
 
0.2%
(Missing) 11191
 
9.2%

Common Values (Plot)

2024-05-29T00:27:56.534651image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LCSCTWHN
Categorical

MISSING 

Distinct8
Distinct (%)0.1%
Missing113044
Missing (%)92.6%
Memory size119.7 KiB
1.0
4048 
2.0
1241 
6.0
913 
4.0
892 
5.0
814 
Other values (3)
1079 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row6.0

Common Values

ValueCountFrequency (%)
1.0 4048
 
3.3%
2.0 1241
 
1.0%
6.0 913
 
0.7%
4.0 892
 
0.7%
5.0 814
 
0.7%
3.0 746
 
0.6%
7.0 320
 
0.3%
9.0 13
 
< 0.1%
(Missing) 113044
92.6%

Common Values (Plot)

2024-05-29T00:27:56.850888image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LCSFIRST
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)0.2%
Missing77214
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean59.93069594
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:57.146108image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12
Q115
median17
Q320
95-th percentile777
Maximum999
Range998
Interquartile range (IQR)5

Descriptive statistics

Standard deviation184.0598742
Coefficient of variation (CV)3.071212027
Kurtosis15.44306293
Mean59.93069594
Median Absolute Deviation (MAD)2
Skewness4.158156245
Sum2685914
Variance33878.03728
MonotonicityNot monotonic
2024-05-29T00:27:57.454734image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 7432
 
6.1%
16 6148
 
5.0%
15 4525
 
3.7%
17 3659
 
3.0%
20 3515
 
2.9%
14 2905
 
2.4%
19 2515
 
2.1%
13 2107
 
1.7%
21 1682
 
1.4%
12 1575
 
1.3%
Other values (64) 8754
 
7.2%
(Missing) 77214
63.3%
ValueCountFrequency (%)
1 15
 
< 0.1%
2 3
 
< 0.1%
3 4
 
< 0.1%
4 15
 
< 0.1%
5 42
< 0.1%
ValueCountFrequency (%)
999 173
 
0.1%
888 1285
1.1%
777 793
0.6%
99 1
 
< 0.1%
88 4
 
< 0.1%

LCSLAST
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)0.3%
Missing88526
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean73.71246083
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:57.752442image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20
Q127
median37
Q350
95-th percentile78
Maximum999
Range998
Interquartile range (IQR)23

Descriptive statistics

Standard deviation163.8525516
Coefficient of variation (CV)2.222860962
Kurtosis18.12838316
Mean73.71246083
Median Absolute Deviation (MAD)12
Skewness4.423489581
Sum2469736
Variance26847.65866
MonotonicityNot monotonic
2024-05-29T00:27:58.046437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 2162
 
1.8%
40 1942
 
1.6%
35 1516
 
1.2%
25 1491
 
1.2%
50 1488
 
1.2%
777 1231
 
1.0%
45 1084
 
0.9%
22 1016
 
0.8%
20 923
 
0.8%
21 913
 
0.7%
Other values (81) 19739
 
16.2%
(Missing) 88526
72.5%
ValueCountFrequency (%)
1 4
< 0.1%
2 2
< 0.1%
5 3
< 0.1%
6 2
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
999 285
 
0.2%
777 1231
1.0%
99 2
 
< 0.1%
90 2
 
< 0.1%
89 1
 
< 0.1%

LCSNUMCG
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)0.2%
Missing78697
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean47.11921355
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:58.343456image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q320
95-th percentile60
Maximum999
Range998
Interquartile range (IQR)12

Descriptive statistics

Standard deviation155.4754172
Coefficient of variation (CV)3.299618256
Kurtosis21.08742502
Mean47.11921355
Median Absolute Deviation (MAD)5
Skewness4.751205413
Sum2041864
Variance24172.60536
MonotonicityNot monotonic
2024-05-29T00:27:58.638662image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 12069
 
9.9%
10 9098
 
7.5%
5 3094
 
2.5%
15 2611
 
2.1%
40 2019
 
1.7%
30 1720
 
1.4%
3 1531
 
1.3%
777 1486
 
1.2%
2 1326
 
1.1%
1 1271
 
1.0%
Other values (81) 7109
 
5.8%
(Missing) 78697
64.5%
ValueCountFrequency (%)
1 1271
1.0%
2 1326
1.1%
3 1531
1.3%
4 1259
1.0%
5 3094
2.5%
ValueCountFrequency (%)
999 229
 
0.2%
777 1486
1.2%
300 1
 
< 0.1%
253 1
 
< 0.1%
243 1
 
< 0.1%

LCSSCNCR
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing76422
Missing (%)62.6%
Memory size119.5 KiB
2.0
33913 
1.0
9010 
7.0
 
2650
9.0
 
36

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row7.0

Common Values

ValueCountFrequency (%)
2.0 33913
27.8%
1.0 9010
 
7.4%
7.0 2650
 
2.2%
9.0 36
 
< 0.1%
(Missing) 76422
62.6%

Common Values (Plot)

2024-05-29T00:27:58.934277image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LOADULK2
Categorical

MISSING 

Distinct4
Distinct (%)0.3%
Missing120820
Missing (%)99.0%
Memory size119.5 KiB
1.0
648 
2.0
556 
9.0
 
6
7.0
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 648
 
0.5%
2.0 556
 
0.5%
9.0 6
 
< 0.1%
7.0 1
 
< 0.1%
(Missing) 120820
99.0%

Common Values (Plot)

2024-05-29T00:27:59.184654image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LSATISFY
Categorical

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing39152
Missing (%)32.1%
Memory size119.5 KiB
2.0
39446 
1.0
37888 
3.0
 
3544
4.0
 
1041
7.0
 
583

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 39446
32.3%
1.0 37888
31.0%
3.0 3544
 
2.9%
4.0 1041
 
0.9%
7.0 583
 
0.5%
9.0 377
 
0.3%
(Missing) 39152
32.1%

Common Values (Plot)

2024-05-29T00:27:59.462260image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARIJAN1
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)0.1%
Missing79845
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean78.23718769
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:27:59.741640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.01128663
Coefficient of variation (CV)0.3196853999
Kurtosis3.242754503
Mean78.23718769
Median Absolute Deviation (MAD)0
Skewness-2.227097116
Sum3300514
Variance625.5644589
MonotonicityNot monotonic
2024-05-29T00:28:00.007252image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
88 35615
29.2%
30 2241
 
1.8%
1 603
 
0.5%
2 518
 
0.4%
99 462
 
0.4%
10 341
 
0.3%
20 335
 
0.3%
15 329
 
0.3%
5 324
 
0.3%
77 302
 
0.2%
Other values (22) 1116
 
0.9%
(Missing) 79845
65.4%
ValueCountFrequency (%)
1 603
0.5%
2 518
0.4%
3 291
0.2%
4 213
 
0.2%
5 324
0.3%
ValueCountFrequency (%)
99 462
 
0.4%
88 35615
29.2%
77 302
 
0.2%
30 2241
 
1.8%
29 33
 
< 0.1%

MARITAL
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.6 KiB
1.0
64045 
5.0
19704 
2.0
16186 
3.0
13659 
6.0
 
4960
Other values (2)
 
3477

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row5.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 64045
52.5%
5.0 19704
 
16.1%
2.0 16186
 
13.3%
3.0 13659
 
11.2%
6.0 4960
 
4.1%
4.0 2166
 
1.8%
9.0 1311
 
1.1%

Common Values (Plot)

2024-05-29T00:28:00.319660image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARJDAB
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing116235
Missing (%)95.3%
Memory size119.5 KiB
2.0
5076 
1.0
684 
7.0
 
24
9.0
 
12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 5076
 
4.2%
1.0 684
 
0.6%
7.0 24
 
< 0.1%
9.0 12
 
< 0.1%
(Missing) 116235
95.3%

Common Values (Plot)

2024-05-29T00:28:00.595846image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARJEAT
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing116230
Missing (%)95.2%
Memory size119.5 KiB
2.0
3317 
1.0
2464 
7.0
 
11
9.0
 
9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 3317
 
2.7%
1.0 2464
 
2.0%
7.0 11
 
< 0.1%
9.0 9
 
< 0.1%
(Missing) 116230
95.2%

Common Values (Plot)

2024-05-29T00:28:00.853641image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARJOTHR
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing116238
Missing (%)95.3%
Memory size119.5 KiB
2.0
5362 
1.0
 
406
7.0
 
13
9.0
 
12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 5362
 
4.4%
1.0 406
 
0.3%
7.0 13
 
< 0.1%
9.0 12
 
< 0.1%
(Missing) 116238
95.3%

Common Values (Plot)

2024-05-29T00:28:01.194955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARJSMOK
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing116228
Missing (%)95.2%
Memory size119.5 KiB
1.0
4414 
2.0
1374 
7.0
 
8
9.0
 
7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 4414
 
3.6%
2.0 1374
 
1.1%
7.0 8
 
< 0.1%
9.0 7
 
< 0.1%
(Missing) 116228
95.2%

Common Values (Plot)

2024-05-29T00:28:01.646469image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARJVAPE
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing116232
Missing (%)95.2%
Memory size119.5 KiB
2.0
4341 
1.0
1440 
9.0
 
10
7.0
 
8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 4341
 
3.6%
1.0 1440
 
1.2%
9.0 10
 
< 0.1%
7.0 8
 
< 0.1%
(Missing) 116232
95.2%

Common Values (Plot)

2024-05-29T00:28:02.042134image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MAXDRNKS
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)0.1%
Missing66099
Missing (%)54.2%
Infinite0
Infinite (%)0.0%
Mean5.812272045
Minimum0
Maximum99
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:28:02.961253image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q34
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation14.17418521
Coefficient of variation (CV)2.438665138
Kurtosis24.69534857
Mean5.812272045
Median Absolute Deviation (MAD)1
Skewness5.016501615
Sum325092
Variance200.9075264
MonotonicityNot monotonic
2024-05-29T00:28:03.427953image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 14685
 
12.0%
1 14469
 
11.9%
3 8820
 
7.2%
4 4721
 
3.9%
5 3548
 
2.9%
6 2829
 
2.3%
77 1490
 
1.2%
8 1205
 
1.0%
10 1085
 
0.9%
7 987
 
0.8%
Other values (40) 2093
 
1.7%
(Missing) 66099
54.2%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 14469
11.9%
2 14685
12.0%
3 8820
7.2%
4 4721
 
3.9%
ValueCountFrequency (%)
99 318
 
0.3%
77 1490
1.2%
76 2
 
< 0.1%
75 1
 
< 0.1%
72 1
 
< 0.1%

MEDCOST1
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
2.0
111899 
1.0
 
9713
7.0
 
308
9.0
 
111

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 111899
91.7%
1.0 9713
 
8.0%
7.0 308
 
0.3%
9.0 111
 
0.1%

Common Values (Plot)

2024-05-29T00:28:03.958193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MENTCIGS
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.2%
Missing120324
Missing (%)98.6%
Memory size119.5 KiB
2.0
1180 
1.0
521 
7.0
 
5
9.0
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 1180
 
1.0%
1.0 521
 
0.4%
7.0 5
 
< 0.1%
9.0 1
 
< 0.1%
(Missing) 120324
98.6%

Common Values (Plot)

2024-05-29T00:28:04.428612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MENTECIG
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.6%
Missing121375
Missing (%)99.5%
Memory size119.5 KiB
2.0
465 
1.0
183 
7.0
 
7
9.0
 
1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 465
 
0.4%
1.0 183
 
0.1%
7.0 7
 
< 0.1%
9.0 1
 
< 0.1%
(Missing) 121375
99.5%

Common Values (Plot)

2024-05-29T00:28:04.909358image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MENTHLTH
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.2860011
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:28:05.322483image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q114
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)74

Descriptive statistics

Standard deviation37.87603653
Coefficient of variation (CV)0.6498307623
Kurtosis-1.612211726
Mean58.2860011
Median Absolute Deviation (MAD)0
Skewness-0.5433554422
Sum7112699
Variance1434.594143
MonotonicityNot monotonic
2024-05-29T00:28:05.798826image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 72385
59.3%
30 7488
 
6.1%
2 6623
 
5.4%
5 5450
 
4.5%
10 4273
 
3.5%
3 4193
 
3.4%
1 4103
 
3.4%
15 3932
 
3.2%
20 2482
 
2.0%
4 2163
 
1.8%
Other values (23) 8939
 
7.3%
ValueCountFrequency (%)
1 4103
3.4%
2 6623
5.4%
3 4193
3.4%
4 2163
 
1.8%
5 5450
4.5%
ValueCountFrequency (%)
99 753
 
0.6%
88 72385
59.3%
77 1840
 
1.5%
30 7488
 
6.1%
29 119
 
0.1%

MSCODE
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing94634
Missing (%)77.5%
Memory size119.5 KiB
5.0
9072 
1.0
7743 
2.0
5422 
3.0
5160 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
5.0 9072
 
7.4%
1.0 7743
 
6.3%
2.0 5422
 
4.4%
3.0 5160
 
4.2%
(Missing) 94634
77.5%

Common Values (Plot)

2024-05-29T00:28:06.345844image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8
Categorical

MISSING 

Distinct15
Distinct (%)1.2%
Missing120756
Missing (%)99.0%
Memory size120.0 KiB
3.0
329 
14.0
270 
8.0
219 
10.0
113 
4.0
90 
Other values (10)
254 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8.0
2nd row14.0
3rd row10.0
4th row8.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 329
 
0.3%
14.0 270
 
0.2%
8.0 219
 
0.2%
10.0 113
 
0.1%
4.0 90
 
0.1%
2.0 68
 
0.1%
77.0 46
 
< 0.1%
99.0 43
 
< 0.1%
11.0 31
 
< 0.1%
1.0 22
 
< 0.1%
Other values (5) 44
 
< 0.1%
(Missing) 120756
99.0%

NUMADULT
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)< 0.1%
Missing94622
Missing (%)77.5%
Infinite0
Infinite (%)0.0%
Mean1.672844686
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:28:06.783213image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum15
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7689377491
Coefficient of variation (CV)0.4596587809
Kurtosis10.18076767
Mean1.672844686
Median Absolute Deviation (MAD)1
Skewness1.85455283
Sum45851
Variance0.591265262
MonotonicityNot monotonic
2024-05-29T00:28:07.052598image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 12564
 
10.3%
2 12241
 
10.0%
3 1881
 
1.5%
4 553
 
0.5%
5 118
 
0.1%
6 32
 
< 0.1%
7 11
 
< 0.1%
10 4
 
< 0.1%
8 3
 
< 0.1%
12 1
 
< 0.1%
(Missing) 94622
77.5%
ValueCountFrequency (%)
1 12564
10.3%
2 12241
10.0%
3 1881
 
1.5%
4 553
 
0.5%
5 118
 
0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
12 1
 
< 0.1%
10 4
 
< 0.1%
8 3
 
< 0.1%
7 11
< 0.1%

NUMHHOL4
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing94618
Missing (%)77.5%
Memory size119.5 KiB
2.0
24995 
1.0
 
2226
9.0
 
140
7.0
 
52

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 24995
 
20.5%
1.0 2226
 
1.8%
9.0 140
 
0.1%
7.0 52
 
< 0.1%
(Missing) 94618
77.5%

Common Values (Plot)

2024-05-29T00:28:07.344089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NUMMEN
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)0.1%
Missing109099
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean1.091865141
Minimum0
Maximum12
Zeros694
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:28:07.535427image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5001634728
Coefficient of variation (CV)0.4580817302
Kurtosis25.68953607
Mean1.091865141
Median Absolute Deviation (MAD)0
Skewness2.484041476
Sum14120
Variance0.2501634996
MonotonicityNot monotonic
2024-05-29T00:28:07.765063image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 10637
 
8.7%
2 1374
 
1.1%
0 694
 
0.6%
3 192
 
0.2%
4 25
 
< 0.1%
5 7
 
< 0.1%
6 2
 
< 0.1%
12 1
 
< 0.1%
(Missing) 109099
89.4%
ValueCountFrequency (%)
0 694
 
0.6%
1 10637
8.7%
2 1374
 
1.1%
3 192
 
0.2%
4 25
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
6 2
 
< 0.1%
5 7
 
< 0.1%
4 25
 
< 0.1%
3 192
0.2%

NUMPHON4
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)0.4%
Missing119805
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean1.862982929
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:28:07.993269image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.602695734
Coefficient of variation (CV)0.8602847126
Kurtosis9.237158889
Mean1.862982929
Median Absolute Deviation (MAD)0
Skewness3.009772391
Sum4147
Variance2.568633615
MonotonicityNot monotonic
2024-05-29T00:28:08.224974image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1226
 
1.0%
2 706
 
0.6%
3 138
 
0.1%
9 41
 
< 0.1%
7 41
 
< 0.1%
8 27
 
< 0.1%
4 24
 
< 0.1%
6 12
 
< 0.1%
5 11
 
< 0.1%
(Missing) 119805
98.2%
ValueCountFrequency (%)
1 1226
1.0%
2 706
0.6%
3 138
 
0.1%
4 24
 
< 0.1%
5 11
 
< 0.1%
ValueCountFrequency (%)
9 41
< 0.1%
8 27
< 0.1%
7 41
< 0.1%
6 12
 
< 0.1%
5 11
 
< 0.1%

NUMWOMEN
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)0.1%
Missing109099
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean1.153185895
Minimum0
Maximum10
Zeros262
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:28:08.468193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4911669499
Coefficient of variation (CV)0.4259217458
Kurtosis27.38051923
Mean1.153185895
Median Absolute Deviation (MAD)0
Skewness3.229098632
Sum14913
Variance0.2412449726
MonotonicityNot monotonic
2024-05-29T00:28:08.691314image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 10753
 
8.8%
2 1656
 
1.4%
0 262
 
0.2%
3 225
 
0.2%
4 24
 
< 0.1%
5 5
 
< 0.1%
6 3
 
< 0.1%
7 2
 
< 0.1%
10 2
 
< 0.1%
(Missing) 109099
89.4%
ValueCountFrequency (%)
0 262
 
0.2%
1 10753
8.8%
2 1656
 
1.4%
3 225
 
0.2%
4 24
 
< 0.1%
ValueCountFrequency (%)
10 2
 
< 0.1%
7 2
 
< 0.1%
6 3
 
< 0.1%
5 5
 
< 0.1%
4 24
< 0.1%

PCPSARS2
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)0.3%
Missing120084
Missing (%)98.4%
Memory size119.5 KiB
1.0
1580 
2.0
180 
3.0
159 
7.0
 
25
9.0
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 1580
 
1.3%
2.0 180
 
0.1%
3.0 159
 
0.1%
7.0 25
 
< 0.1%
9.0 3
 
< 0.1%
(Missing) 120084
98.4%

Common Values (Plot)

2024-05-29T00:28:08.961856image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PCSTALK1
Categorical

MISSING 

Distinct6
Distinct (%)0.2%
Missing119047
Missing (%)97.6%
Memory size119.5 KiB
4.0
1281 
3.0
901 
7.0
389 
1.0
371 
9.0
 
26

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row3.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
4.0 1281
 
1.0%
3.0 901
 
0.7%
7.0 389
 
0.3%
1.0 371
 
0.3%
9.0 26
 
< 0.1%
2.0 16
 
< 0.1%
(Missing) 119047
97.6%

Common Values (Plot)

2024-05-29T00:28:09.260425image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PDIABTS1
Categorical

MISSING 

Distinct9
Distinct (%)< 0.1%
Missing69440
Missing (%)56.9%
Memory size119.7 KiB
1.0
34062 
2.0
5046 
8.0
4660 
7.0
 
3336
3.0
 
1837
Other values (4)
3650 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row1.0
3rd row1.0
4th row5.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 34062
27.9%
2.0 5046
 
4.1%
8.0 4660
 
3.8%
7.0 3336
 
2.7%
3.0 1837
 
1.5%
4.0 1583
 
1.3%
5.0 1022
 
0.8%
6.0 945
 
0.8%
9.0 100
 
0.1%
(Missing) 69440
56.9%

Common Values (Plot)

2024-05-29T00:28:09.560635image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PERSDOC3
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
1.0
68905 
2.0
37134 
3.0
14654 
7.0
 
1008
9.0
 
330

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 68905
56.5%
2.0 37134
30.4%
3.0 14654
 
12.0%
7.0 1008
 
0.8%
9.0 330
 
0.3%

Common Values (Plot)

2024-05-29T00:28:09.861441image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PFPPRVN4
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing115211
Missing (%)94.4%
Memory size119.5 KiB
1.0
5475 
2.0
1284 
9.0
 
41
7.0
 
20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 5475
 
4.5%
2.0 1284
 
1.1%
9.0 41
 
< 0.1%
7.0 20
 
< 0.1%
(Missing) 115211
94.4%

Common Values (Plot)

2024-05-29T00:28:10.125669image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PHYSHLTH
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.91848793
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:28:10.375252image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q114
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)74

Descriptive statistics

Standard deviation37.63144552
Coefficient of variation (CV)0.6387035181
Kurtosis-1.551609239
Mean58.91848793
Median Absolute Deviation (MAD)0
Skewness-0.5874295707
Sum7189882
Variance1416.125692
MonotonicityNot monotonic
2024-05-29T00:28:10.648452image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 72827
59.7%
30 9208
 
7.5%
2 6969
 
5.7%
1 4790
 
3.9%
3 4315
 
3.5%
5 4295
 
3.5%
10 2893
 
2.4%
7 2552
 
2.1%
77 2519
 
2.1%
15 2436
 
2.0%
Other values (23) 9227
 
7.6%
ValueCountFrequency (%)
1 4790
3.9%
2 6969
5.7%
3 4315
3.5%
4 2320
 
1.9%
5 4295
3.5%
ValueCountFrequency (%)
99 620
 
0.5%
88 72827
59.7%
77 2519
 
2.1%
30 9208
 
7.5%
29 99
 
0.1%

PNEUVAC4
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing13023
Missing (%)10.7%
Memory size119.5 KiB
2.0
57209 
1.0
42912 
7.0
8591 
9.0
 
296

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 57209
46.9%
1.0 42912
35.2%
7.0 8591
 
7.0%
9.0 296
 
0.2%
(Missing) 13023
 
10.7%

Common Values (Plot)

2024-05-29T00:28:10.926569image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

POORHLTH
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)< 0.1%
Missing51539
Missing (%)42.2%
Infinite0
Infinite (%)0.0%
Mean51.75465301
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:28:11.168797image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)81

Descriptive statistics

Standard deviation38.82514727
Coefficient of variation (CV)0.7501769408
Kurtosis-1.856634109
Mean51.75465301
Median Absolute Deviation (MAD)0
Skewness-0.2025090679
Sum3648289
Variance1507.39206
MonotonicityNot monotonic
2024-05-29T00:28:11.446765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 35467
29.1%
30 5565
 
4.6%
2 4175
 
3.4%
5 3599
 
2.9%
1 3212
 
2.6%
3 2849
 
2.3%
10 2722
 
2.2%
15 2598
 
2.1%
7 1750
 
1.4%
4 1668
 
1.4%
Other values (23) 6887
 
5.6%
(Missing) 51539
42.2%
ValueCountFrequency (%)
1 3212
2.6%
2 4175
3.4%
3 2849
2.3%
4 1668
 
1.4%
5 3599
2.9%
ValueCountFrequency (%)
99 423
 
0.3%
88 35467
29.1%
77 1441
 
1.2%
30 5565
 
4.6%
29 63
 
0.1%

PREDIAB2
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing69441
Missing (%)56.9%
Memory size119.5 KiB
3.0
44518 
1.0
7200 
2.0
 
540
7.0
 
262
9.0
 
70

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row3.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
3.0 44518
36.5%
1.0 7200
 
5.9%
2.0 540
 
0.4%
7.0 262
 
0.2%
9.0 70
 
0.1%
(Missing) 69441
56.9%

Common Values (Plot)

2024-05-29T00:28:11.742630image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PREGNANT
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing101562
Missing (%)83.2%
Memory size119.5 KiB
2.0
19778 
1.0
 
547
9.0
 
102
7.0
 
42

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 19778
 
16.2%
1.0 547
 
0.4%
9.0 102
 
0.1%
7.0 42
 
< 0.1%
(Missing) 101562
83.2%

Common Values (Plot)

2024-05-29T00:28:12.011424image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PRIMINSR
Categorical

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.9 KiB
1.0
42755 
3.0
39309 
2.0
10011 
5.0
7555 
88.0
6006 
Other values (8)
16395 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row88.0
3rd row3.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 42755
35.0%
3.0 39309
32.2%
2.0 10011
 
8.2%
5.0 7555
 
6.2%
88.0 6006
 
4.9%
7.0 4252
 
3.5%
9.0 3607
 
3.0%
10.0 3041
 
2.5%
77.0 2693
 
2.2%
99.0 2495
 
2.0%
Other values (3) 307
 
0.3%

PSASUGST
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)0.3%
Missing120089
Missing (%)98.4%
Memory size119.5 KiB
2.0
1591 
1.0
210 
3.0
 
98
7.0
 
38
9.0
 
5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 1591
 
1.3%
1.0 210
 
0.2%
3.0 98
 
0.1%
7.0 38
 
< 0.1%
9.0 5
 
< 0.1%
(Missing) 120089
98.4%

Common Values (Plot)

2024-05-29T00:28:12.278184image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PSATEST1
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing118767
Missing (%)97.3%
Memory size119.5 KiB
1.0
1956 
2.0
1078 
7.0
220 
9.0
 
10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row7.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1956
 
1.6%
2.0 1078
 
0.9%
7.0 220
 
0.2%
9.0 10
 
< 0.1%
(Missing) 118767
97.3%

Common Values (Plot)

2024-05-29T00:28:12.552270image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PSATIME1
Categorical

MISSING 

Distinct7
Distinct (%)0.4%
Missing120078
Missing (%)98.4%
Memory size119.6 KiB
1.0
1207 
2.0
270 
5.0
159 
3.0
135 
4.0
 
105
Other values (2)
 
77

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1207
 
1.0%
2.0 270
 
0.2%
5.0 159
 
0.1%
3.0 135
 
0.1%
4.0 105
 
0.1%
7.0 74
 
0.1%
9.0 3
 
< 0.1%
(Missing) 120078
98.4%

Common Values (Plot)

2024-05-29T00:28:12.834722image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PVTRESD1
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing94619
Missing (%)77.5%
Memory size119.4 KiB
1.0
27408 
2.0
 
4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 27408
 
22.5%
2.0 4
 
< 0.1%
(Missing) 94619
77.5%

Common Values (Plot)

2024-05-29T00:28:13.087998image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PVTRESD3
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing27413
Missing (%)22.5%
Memory size119.4 KiB
1.0
94276 
2.0
 
342

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 94276
77.3%
2.0 342
 
0.3%
(Missing) 27413
 
22.5%

Common Values (Plot)

2024-05-29T00:28:13.294346image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTLANG
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.4 KiB
1
118903 
2
 
3128

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 118903
97.4%
2 3128
 
2.6%

Common Values (Plot)

2024-05-29T00:28:13.511242image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTVER
Categorical

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
20
57456 
22
19514 
21
17648 
10
17247 
11
 
5168

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
20 57456
47.1%
22 19514
 
16.0%
21 17648
 
14.5%
10 17247
 
14.1%
11 5168
 
4.2%
12 4998
 
4.1%

Common Values (Plot)

2024-05-29T00:28:13.756705image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSGEND1
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing107204
Missing (%)87.8%
Memory size119.5 KiB
1.0
7229 
2.0
6766 
9.0
793 
3.0
 
39

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 7229
 
5.9%
2.0 6766
 
5.5%
9.0 793
 
0.6%
3.0 39
 
< 0.1%
(Missing) 107204
87.8%

Common Values (Plot)

2024-05-29T00:28:14.037221image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSRLTN2
Categorical

IMBALANCE  MISSING 

Distinct8
Distinct (%)0.1%
Missing107342
Missing (%)88.0%
Memory size119.7 KiB
1.0
11441 
2.0
1259 
4.0
 
659
9.0
 
449
5.0
 
369
Other values (3)
 
512

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 11441
 
9.4%
2.0 1259
 
1.0%
4.0 659
 
0.5%
9.0 449
 
0.4%
5.0 369
 
0.3%
6.0 274
 
0.2%
3.0 224
 
0.2%
7.0 14
 
< 0.1%
(Missing) 107342
88.0%

Common Values (Plot)

2024-05-29T00:28:14.350297image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSXBRTH
Categorical

MISSING 

Distinct3
Distinct (%)0.4%
Missing121211
Missing (%)99.3%
Memory size119.4 KiB
9.0
561 
1.0
132 
2.0
127 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9.0
2nd row1.0
3rd row9.0
4th row1.0
5th row9.0

Common Values

ValueCountFrequency (%)
9.0 561
 
0.5%
1.0 132
 
0.1%
2.0 127
 
0.1%
(Missing) 121211
99.3%

Common Values (Plot)

2024-05-29T00:28:14.656250image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RENTHOM1
Categorical

IMBALANCE 

Distinct5
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size119.5 KiB
1.0
88136 
2.0
27182 
3.0
 
5314
9.0
 
1077
7.0
 
320

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 88136
72.2%
2.0 27182
 
22.3%
3.0 5314
 
4.4%
9.0 1077
 
0.9%
7.0 320
 
0.3%
(Missing) 2
 
< 0.1%

Common Values (Plot)

2024-05-29T00:28:14.907609image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RESPSLCT
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing107187
Missing (%)87.8%
Memory size119.5 KiB
2.0
8635 
1.0
6207 
3.0
 
1
7.0
 
1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 8635
 
7.1%
1.0 6207
 
5.1%
3.0 1
 
< 0.1%
7.0 1
 
< 0.1%
(Missing) 107187
87.8%

Common Values (Plot)

2024-05-29T00:28:15.171482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RMVTETH4
Categorical

Distinct6
Distinct (%)< 0.1%
Missing8
Missing (%)< 0.1%
Memory size119.5 KiB
8.0
63938 
1.0
35102 
2.0
12607 
3.0
7431 
7.0
 
2546

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row8.0
4th row1.0
5th row8.0

Common Values

ValueCountFrequency (%)
8.0 63938
52.4%
1.0 35102
28.8%
2.0 12607
 
10.3%
3.0 7431
 
6.1%
7.0 2546
 
2.1%
9.0 399
 
0.3%
(Missing) 8
 
< 0.1%

Common Values (Plot)

2024-05-29T00:28:15.462583image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRATWRK2
Categorical

IMBALANCE  MISSING 

Distinct7
Distinct (%)< 0.1%
Missing94368
Missing (%)77.3%
Memory size119.6 KiB
2.0
22126 
3.0
 
2047
7.0
 
1175
1.0
 
1068
9.0
 
651
Other values (2)
 
596

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 22126
 
18.1%
3.0 2047
 
1.7%
7.0 1175
 
1.0%
1.0 1068
 
0.9%
9.0 651
 
0.5%
5.0 464
 
0.4%
4.0 132
 
0.1%
(Missing) 94368
77.3%

Common Values (Plot)

2024-05-29T00:28:15.740625image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRCLASS3
Categorical

IMBALANCE  MISSING 

Distinct10
Distinct (%)< 0.1%
Missing66782
Missing (%)54.7%
Memory size119.7 KiB
1.0
44583 
2.0
4613 
3.0
 
2284
4.0
 
961
99.0
 
933
Other values (5)
 
1875

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 44583
36.5%
2.0 4613
 
3.8%
3.0 2284
 
1.9%
4.0 961
 
0.8%
99.0 933
 
0.8%
77.0 694
 
0.6%
8.0 560
 
0.5%
7.0 303
 
0.2%
6.0 243
 
0.2%
5.0 75
 
0.1%
(Missing) 66782
54.7%

Common Values (Plot)

2024-05-29T00:28:16.034009image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRCOGNT2
Categorical

MISSING 

Distinct9
Distinct (%)< 0.1%
Missing66915
Missing (%)54.8%
Memory size119.7 KiB
1.0
30825 
3.0
5997 
4.0
5081 
2.0
4332 
5.0
3667 
Other values (4)
5214 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 30825
25.3%
3.0 5997
 
4.9%
4.0 5081
 
4.2%
2.0 4332
 
3.5%
5.0 3667
 
3.0%
8.0 2627
 
2.2%
7.0 1630
 
1.3%
9.0 738
 
0.6%
6.0 219
 
0.2%
(Missing) 66915
54.8%

Common Values (Plot)

2024-05-29T00:28:16.357984image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRHCARE4
Categorical

MISSING 

Distinct8
Distinct (%)< 0.1%
Missing67185
Missing (%)55.1%
Memory size119.7 KiB
2.0
36372 
3.0
9187 
7.0
6130 
9.0
 
1468
1.0
 
1178
Other values (3)
 
511

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row7.0
3rd row2.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
2.0 36372
29.8%
3.0 9187
 
7.5%
7.0 6130
 
5.0%
9.0 1468
 
1.2%
1.0 1178
 
1.0%
5.0 310
 
0.3%
4.0 189
 
0.2%
6.0 12
 
< 0.1%
(Missing) 67185
55.1%

Common Values (Plot)

2024-05-29T00:28:16.673735image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRPHYSM2
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing67291
Missing (%)55.1%
Memory size119.5 KiB
2.0
52098 
1.0
 
1559
9.0
 
666
7.0
 
417

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 52098
42.7%
1.0 1559
 
1.3%
9.0 666
 
0.5%
7.0 417
 
0.3%
(Missing) 67291
55.1%

Common Values (Plot)

2024-05-29T00:28:16.991204image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRTREAT
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing67037
Missing (%)54.9%
Memory size119.6 KiB
2.0
32587 
3.0
13221 
7.0
3964 
1.0
 
2827
9.0
 
1551
Other values (2)
 
844

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 32587
26.7%
3.0 13221
 
10.8%
7.0 3964
 
3.2%
1.0 2827
 
2.3%
9.0 1551
 
1.3%
4.0 493
 
0.4%
5.0 351
 
0.3%
(Missing) 67037
54.9%

Common Values (Plot)

2024-05-29T00:28:17.386696image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SAFETIME
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing27413
Missing (%)22.5%
Memory size119.4 KiB
1.0
94618 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 94618
77.5%
(Missing) 27413
 
22.5%

Common Values (Plot)

2024-05-29T00:28:17.721170image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHBILLS
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing39742
Missing (%)32.6%
Memory size119.5 KiB
2.0
74785 
1.0
 
6956
9.0
 
304
7.0
 
244

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 74785
61.3%
1.0 6956
 
5.7%
9.0 304
 
0.2%
7.0 244
 
0.2%
(Missing) 39742
32.6%

Common Values (Plot)

2024-05-29T00:28:18.057725image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHEMPLY
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing39439
Missing (%)32.3%
Memory size119.5 KiB
2.0
74492 
1.0
 
7264
7.0
 
455
9.0
 
381

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 74492
61.0%
1.0 7264
 
6.0%
7.0 455
 
0.4%
9.0 381
 
0.3%
(Missing) 39439
32.3%

Common Values (Plot)

2024-05-29T00:28:18.523667image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHFOOD1
Categorical

IMBALANCE  MISSING 

Distinct7
Distinct (%)< 0.1%
Missing39654
Missing (%)32.5%
Memory size119.6 KiB
5.0
66907 
4.0
6707 
3.0
 
5397
1.0
 
1442
2.0
 
1337
Other values (2)
 
587

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 66907
54.8%
4.0 6707
 
5.5%
3.0 5397
 
4.4%
1.0 1442
 
1.2%
2.0 1337
 
1.1%
9.0 296
 
0.2%
7.0 291
 
0.2%
(Missing) 39654
32.5%

Common Values (Plot)

2024-05-29T00:28:18.992805image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHISOLT
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing39375
Missing (%)32.3%
Memory size119.6 KiB
5.0
35083 
4.0
22969 
3.0
17087 
2.0
4126 
1.0
 
2511
Other values (2)
 
880

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row4.0
3rd row4.0
4th row5.0
5th row4.0

Common Values

ValueCountFrequency (%)
5.0 35083
28.7%
4.0 22969
18.8%
3.0 17087
14.0%
2.0 4126
 
3.4%
1.0 2511
 
2.1%
7.0 544
 
0.4%
9.0 336
 
0.3%
(Missing) 39375
32.3%

Common Values (Plot)

2024-05-29T00:28:19.526108image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHSTRE1
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing40146
Missing (%)32.9%
Memory size119.6 KiB
5.0
31462 
4.0
22904 
3.0
17766 
2.0
5464 
1.0
3718 
Other values (2)
 
571

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row4.0
4th row5.0
5th row4.0

Common Values

ValueCountFrequency (%)
5.0 31462
25.8%
4.0 22904
18.8%
3.0 17766
14.6%
2.0 5464
 
4.5%
1.0 3718
 
3.0%
9.0 301
 
0.2%
7.0 270
 
0.2%
(Missing) 40146
32.9%

Common Values (Plot)

2024-05-29T00:28:20.089689image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHTRNSP
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing39922
Missing (%)32.7%
Memory size119.5 KiB
2.0
76749 
1.0
 
4963
9.0
 
225
7.0
 
172

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 76749
62.9%
1.0 4963
 
4.1%
9.0 225
 
0.2%
7.0 172
 
0.1%
(Missing) 39922
32.7%

Common Values (Plot)

2024-05-29T00:28:20.583149image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHUTILS
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing39823
Missing (%)32.6%
Memory size119.5 KiB
2.0
77133 
1.0
 
4653
9.0
 
245
7.0
 
177

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 77133
63.2%
1.0 4653
 
3.8%
9.0 245
 
0.2%
7.0 177
 
0.1%
(Missing) 39823
32.6%

Common Values (Plot)

2024-05-29T00:28:21.124127image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDNATES1
Categorical

MISSING 

Distinct7
Distinct (%)0.2%
Missing118854
Missing (%)97.4%
Memory size119.6 KiB
1.0
1356 
2.0
627 
3.0
389 
5.0
340 
4.0
299 
Other values (2)
166 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row4.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 1356
 
1.1%
2.0 627
 
0.5%
3.0 389
 
0.3%
5.0 340
 
0.3%
4.0 299
 
0.2%
7.0 149
 
0.1%
9.0 17
 
< 0.1%
(Missing) 118854
97.4%

Common Values (Plot)

2024-05-29T00:28:21.667727image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SEQNO
Real number (ℝ)

Distinct16329
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2022005029
Minimum2022000001
Maximum2022016329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:28:22.085558image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2022000001
5-th percentile2022000452
Q12022002307
median2022004557
Q32022007305
95-th percentile2022011612
Maximum2022016329
Range16328
Interquartile range (IQR)4998

Descriptive statistics

Standard deviation3441.402184
Coefficient of variation (CV)1.701975087 × 10-6
Kurtosis0.2279021275
Mean2022005029
Median Absolute Deviation (MAD)2457
Skewness0.748497967
Sum2.467472957 × 1014
Variance11843248.99
MonotonicityNot monotonic
2024-05-29T00:28:22.655620image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2022002891 15
 
< 0.1%
2022000915 15
 
< 0.1%
2022000886 15
 
< 0.1%
2022000887 15
 
< 0.1%
2022000888 15
 
< 0.1%
2022000889 15
 
< 0.1%
2022000890 15
 
< 0.1%
2022000891 15
 
< 0.1%
2022000892 15
 
< 0.1%
2022000893 15
 
< 0.1%
Other values (16319) 121881
99.9%
ValueCountFrequency (%)
2022000001 11
< 0.1%
2022000002 12
< 0.1%
2022000003 12
< 0.1%
2022000004 12
< 0.1%
2022000005 12
< 0.1%
ValueCountFrequency (%)
2022016329 1
< 0.1%
2022016328 1
< 0.1%
2022016327 1
< 0.1%
2022016326 1
< 0.1%
2022016325 1
< 0.1%

SEXVAR
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.4 KiB
2
65026 
1
57005 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 65026
53.3%
1 57005
46.7%

Common Values (Plot)

2024-05-29T00:28:23.106388image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SHINGLE2
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing115979
Missing (%)95.0%
Memory size119.5 KiB
1.0
3024 
2.0
2915 
7.0
 
102
9.0
 
11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 3024
 
2.5%
2.0 2915
 
2.4%
7.0 102
 
0.1%
9.0 11
 
< 0.1%
(Missing) 115979
95.0%

Common Values (Plot)

2024-05-29T00:28:23.341581image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SIGMTES1
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing112498
Missing (%)92.2%
Memory size119.6 KiB
5.0
3173 
3.0
1716 
1.0
1233 
4.0
1217 
7.0
1150 
Other values (2)
1044 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row5.0
3rd row4.0
4th row5.0
5th row2.0

Common Values

ValueCountFrequency (%)
5.0 3173
 
2.6%
3.0 1716
 
1.4%
1.0 1233
 
1.0%
4.0 1217
 
1.0%
7.0 1150
 
0.9%
2.0 957
 
0.8%
9.0 87
 
0.1%
(Missing) 112498
92.2%

Common Values (Plot)

2024-05-29T00:28:23.599851image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SLEPTIM1
Real number (ℝ)

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.914284075
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:28:23.862458image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q16
median7
Q38
95-th percentile9
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.120175891
Coefficient of variation (CV)1.026015217
Kurtosis76.32172215
Mean7.914284075
Median Absolute Deviation (MAD)1
Skewness8.632485007
Sum965788
Variance65.93725651
MonotonicityNot monotonic
2024-05-29T00:28:24.116094image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
7 36599
30.0%
8 34678
28.4%
6 25994
21.3%
5 7934
 
6.5%
9 5982
 
4.9%
4 3416
 
2.8%
10 2920
 
2.4%
77 1288
 
1.1%
3 886
 
0.7%
12 802
 
0.7%
Other values (15) 1532
 
1.3%
ValueCountFrequency (%)
1 306
 
0.3%
2 434
 
0.4%
3 886
 
0.7%
4 3416
2.8%
5 7934
6.5%
ValueCountFrequency (%)
99 185
 
0.2%
77 1288
1.1%
24 16
 
< 0.1%
23 6
 
< 0.1%
22 5
 
< 0.1%

SMALSTOL
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing105151
Missing (%)86.2%
Memory size119.5 KiB
1.0
13456 
2.0
3219 
7.0
 
191
9.0
 
14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 13456
 
11.0%
2.0 3219
 
2.6%
7.0 191
 
0.2%
9.0 14
 
< 0.1%
(Missing) 105151
86.2%

Common Values (Plot)

2024-05-29T00:28:24.410368image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SMOKDAY2
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing76506
Missing (%)62.7%
Memory size119.5 KiB
3.0
32259 
1.0
9571 
2.0
3584 
7.0
 
61
9.0
 
50

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row3.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
3.0 32259
26.4%
1.0 9571
 
7.8%
2.0 3584
 
2.9%
7.0 61
 
< 0.1%
9.0 50
 
< 0.1%
(Missing) 76506
62.7%

Common Values (Plot)

2024-05-29T00:28:25.201787image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SMOKE100
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing9337
Missing (%)7.7%
Memory size119.5 KiB
2.0
66212 
1.0
45566 
7.0
 
660
9.0
 
256

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 66212
54.3%
1.0 45566
37.3%
7.0 660
 
0.5%
9.0 256
 
0.2%
(Missing) 9337
 
7.7%

Common Values (Plot)

2024-05-29T00:28:25.447199image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SOFEMALE
Categorical

IMBALANCE  MISSING 

Distinct6
Distinct (%)< 0.1%
Missing89244
Missing (%)73.1%
Memory size119.5 KiB
2.0
28959 
3.0
 
1339
9.0
 
793
4.0
 
671
1.0
 
539

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row9.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 28959
 
23.7%
3.0 1339
 
1.1%
9.0 793
 
0.6%
4.0 671
 
0.5%
1.0 539
 
0.4%
7.0 486
 
0.4%
(Missing) 89244
73.1%

Common Values (Plot)

2024-05-29T00:28:25.697771image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SOMALE
Categorical

IMBALANCE  MISSING 

Distinct6
Distinct (%)< 0.1%
Missing93017
Missing (%)76.2%
Memory size119.5 KiB
2.0
26259 
1.0
 
722
9.0
 
650
3.0
 
624
4.0
 
441

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 26259
 
21.5%
1.0 722
 
0.6%
9.0 650
 
0.5%
3.0 624
 
0.5%
4.0 441
 
0.4%
7.0 318
 
0.3%
(Missing) 93017
76.2%

Common Values (Plot)

2024-05-29T00:28:25.980703image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE
Categorical

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size120.0 KiB
12
13393 
23
10646 
18
10466 
51
10417 
45
10037 
Other values (12)
67072 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12
2nd row12
3rd row12
4th row12
5th row12

Common Values

ValueCountFrequency (%)
12 13393
11.0%
23 10646
 
8.7%
18 10466
 
8.6%
51 10417
 
8.5%
45 10037
 
8.2%
49 9826
 
8.1%
50 8811
 
7.2%
16 6280
 
5.1%
44 5893
 
4.8%
41 5756
 
4.7%
Other values (7) 30506
25.0%

STATERE1
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing94618
Missing (%)77.5%
Memory size119.4 KiB
1.0
27413 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 27413
 
22.5%
(Missing) 94618
77.5%

Common Values (Plot)

2024-05-29T00:28:26.221141image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STOLTEST
Categorical

MISSING 

Distinct7
Distinct (%)0.1%
Missing108598
Missing (%)89.0%
Memory size119.6 KiB
1.0
4978 
5.0
2826 
2.0
2369 
3.0
1427 
4.0
1422 
Other values (2)
 
411

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row5.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 4978
 
4.1%
5.0 2826
 
2.3%
2.0 2369
 
1.9%
3.0 1427
 
1.2%
4.0 1422
 
1.2%
7.0 392
 
0.3%
9.0 19
 
< 0.1%
(Missing) 108598
89.0%

Common Values (Plot)

2024-05-29T00:28:26.456777image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STOOLDN2
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing105235
Missing (%)86.2%
Memory size119.5 KiB
2.0
13091 
1.0
3199 
7.0
 
476
9.0
 
30

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 13091
 
10.7%
1.0 3199
 
2.6%
7.0 476
 
0.4%
9.0 30
 
< 0.1%
(Missing) 105235
86.2%

Common Values (Plot)

2024-05-29T00:28:26.748586image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STOPSMK2
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing115875
Missing (%)95.0%
Memory size119.5 KiB
1.0
3099 
2.0
3024 
7.0
 
28
9.0
 
5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3099
 
2.5%
2.0 3024
 
2.5%
7.0 28
 
< 0.1%
9.0 5
 
< 0.1%
(Missing) 115875
95.0%

Common Values (Plot)

2024-05-29T00:28:27.029465image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TETANUS1
Categorical

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing13205
Missing (%)10.8%
Memory size119.5 KiB
4.0
32176 
3.0
31303 
1.0
27564 
7.0
10084 
2.0
7399 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row4.0
3rd row1.0
4th row3.0
5th row4.0

Common Values

ValueCountFrequency (%)
4.0 32176
26.4%
3.0 31303
25.7%
1.0 27564
22.6%
7.0 10084
 
8.3%
2.0 7399
 
6.1%
9.0 300
 
0.2%
(Missing) 13205
10.8%

Common Values (Plot)

2024-05-29T00:28:27.282923image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TOLDCFS
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122031
Missing (%)100.0%
Memory size953.5 KiB

TRNSGNDR
Categorical

IMBALANCE  MISSING 

Distinct6
Distinct (%)< 0.1%
Missing60253
Missing (%)49.4%
Memory size119.5 KiB
4.0
60515 
9.0
 
684
7.0
 
228
3.0
 
127
1.0
 
123

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row4.0
3rd row4.0
4th row4.0
5th row4.0

Common Values

ValueCountFrequency (%)
4.0 60515
49.6%
9.0 684
 
0.6%
7.0 228
 
0.2%
3.0 127
 
0.1%
1.0 123
 
0.1%
2.0 101
 
0.1%
(Missing) 60253
49.4%

Common Values (Plot)

2024-05-29T00:28:27.559935image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TYPCNTR9
Categorical

MISSING 

Distinct14
Distinct (%)0.3%
Missing116572
Missing (%)95.5%
Memory size119.9 KiB
6.0
1098 
4.0
1050 
7.0
861 
2.0
746 
1.0
658 
Other values (9)
1046 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row6.0
3rd row9.0
4th row2.0
5th row7.0

Common Values

ValueCountFrequency (%)
6.0 1098
 
0.9%
4.0 1050
 
0.9%
7.0 861
 
0.7%
2.0 746
 
0.6%
1.0 658
 
0.5%
10.0 345
 
0.3%
12.0 171
 
0.1%
3.0 158
 
0.1%
99.0 122
 
0.1%
9.0 91
 
0.1%
Other values (4) 159
 
0.1%
(Missing) 116572
95.5%

USEMRJN4
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.3%
Missing119379
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean1.778280543
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:28:27.766878image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.223377987
Coefficient of variation (CV)0.6879555604
Kurtosis5.483370798
Mean1.778280543
Median Absolute Deviation (MAD)0
Skewness2.080306939
Sum4716
Variance1.4966537
MonotonicityNot monotonic
2024-05-29T00:28:27.998765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1596
 
1.3%
2 451
 
0.4%
3 383
 
0.3%
4 139
 
0.1%
7 41
 
< 0.1%
5 38
 
< 0.1%
9 4
 
< 0.1%
(Missing) 119379
97.8%
ValueCountFrequency (%)
1 1596
1.3%
2 451
 
0.4%
3 383
 
0.3%
4 139
 
0.1%
5 38
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
7 41
 
< 0.1%
5 38
 
< 0.1%
4 139
 
0.1%
3 383
0.3%

USENOW3
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing9584
Missing (%)7.9%
Memory size119.5 KiB
3.0
109139 
1.0
 
1654
2.0
 
1246
9.0
 
285
7.0
 
123

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row3.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 109139
89.4%
1.0 1654
 
1.4%
2.0 1246
 
1.0%
9.0 285
 
0.2%
7.0 123
 
0.1%
(Missing) 9584
 
7.9%

Common Values (Plot)

2024-05-29T00:28:28.292229image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

VCLNTES2
Categorical

MISSING 

Distinct7
Distinct (%)0.3%
Missing119467
Missing (%)97.9%
Memory size119.6 KiB
3.0
682 
1.0
581 
4.0
435 
2.0
370 
5.0
343 
Other values (2)
153 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row5.0
3rd row5.0
4th row4.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 682
 
0.6%
1.0 581
 
0.5%
4.0 435
 
0.4%
2.0 370
 
0.3%
5.0 343
 
0.3%
7.0 150
 
0.1%
9.0 3
 
< 0.1%
(Missing) 119467
97.9%

Common Values (Plot)

2024-05-29T00:28:28.587123image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

VETERAN3
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing1349
Missing (%)1.1%
Memory size119.5 KiB
2.0
104806 
1.0
15424 
9.0
 
382
7.0
 
70

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 104806
85.9%
1.0 15424
 
12.6%
9.0 382
 
0.3%
7.0 70
 
0.1%
(Missing) 1349
 
1.1%

Common Values (Plot)

2024-05-29T00:28:28.889143image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

VIRCOLO1
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing105102
Missing (%)86.1%
Memory size119.5 KiB
2.0
13537 
1.0
2576 
7.0
 
800
9.0
 
16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 13537
 
11.1%
1.0 2576
 
2.1%
7.0 800
 
0.7%
9.0 16
 
< 0.1%
(Missing) 105102
86.1%

Common Values (Plot)

2024-05-29T00:28:29.189842image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

WEIGHT2
Real number (ℝ)

MISSING 

Distinct495
Distinct (%)0.4%
Missing4689
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean803.6945595
Minimum50
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:28:29.455934image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile120
Q1150
median180
Q3220
95-th percentile7777
Maximum9999
Range9949
Interquartile range (IQR)70

Descriptive statistics

Standard deviation2314.054399
Coefficient of variation (CV)2.879270951
Kurtosis10.41025947
Mean803.6945595
Median Absolute Deviation (MAD)30
Skewness3.500276967
Sum94307127
Variance5354847.761
MonotonicityNot monotonic
2024-05-29T00:28:29.751753image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 5833
 
4.8%
180 5350
 
4.4%
9999 5233
 
4.3%
150 4803
 
3.9%
160 4717
 
3.9%
170 4383
 
3.6%
190 3860
 
3.2%
140 3504
 
2.9%
175 3213
 
2.6%
165 3065
 
2.5%
Other values (485) 73381
60.1%
(Missing) 4689
 
3.8%
ValueCountFrequency (%)
50 4
< 0.1%
52 1
 
< 0.1%
53 1
 
< 0.1%
54 1
 
< 0.1%
55 2
< 0.1%
ValueCountFrequency (%)
9999 5233
4.3%
9305 1
 
< 0.1%
9300 1
 
< 0.1%
9265 1
 
< 0.1%
9240 1
 
< 0.1%

WHEREGET
Categorical

MISSING 

Distinct12
Distinct (%)0.3%
Missing117380
Missing (%)96.2%
Memory size119.7 KiB
1.0
2380 
7.0
649 
5.0
601 
2.0
 
202
10.0
 
202
Other values (7)
617 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row7.0
5th row7.0

Common Values

ValueCountFrequency (%)
1.0 2380
 
2.0%
7.0 649
 
0.5%
5.0 601
 
0.5%
2.0 202
 
0.2%
10.0 202
 
0.2%
3.0 189
 
0.2%
77.0 169
 
0.1%
99.0 99
 
0.1%
9.0 78
 
0.1%
8.0 58
 
< 0.1%
Other values (2) 24
 
< 0.1%
(Missing) 117380
96.2%

WORKCFS
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122031
Missing (%)100.0%
Memory size953.5 KiB

WTKG3
Real number (ℝ)

MISSING 

Distinct486
Distinct (%)0.4%
Missing12141
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean8297.055747
Minimum2268
Maximum27216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size953.5 KiB
2024-05-29T00:28:30.037493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2268
5-th percentile5443
Q16804
median8074
Q39480
95-th percentile12247
Maximum27216
Range24948
Interquartile range (IQR)2676

Descriptive statistics

Standard deviation2134.648239
Coefficient of variation (CV)0.2572777988
Kurtosis2.881450271
Mean8297.055747
Median Absolute Deviation (MAD)1270
Skewness1.095767026
Sum911763456
Variance4556723.103
MonotonicityNot monotonic
2024-05-29T00:28:30.355284image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9072 5833
 
4.8%
8165 5350
 
4.4%
6804 4803
 
3.9%
7257 4717
 
3.9%
7711 4383
 
3.6%
8618 3860
 
3.2%
6350 3504
 
2.9%
7938 3213
 
2.6%
7484 3065
 
2.5%
9979 2928
 
2.4%
Other values (476) 68234
55.9%
(Missing) 12141
 
9.9%
ValueCountFrequency (%)
2268 4
< 0.1%
2359 1
 
< 0.1%
2400 1
 
< 0.1%
2404 1
 
< 0.1%
2449 1
 
< 0.1%
ValueCountFrequency (%)
27216 3
< 0.1%
26500 1
 
< 0.1%
26308 1
 
< 0.1%
25855 1
 
< 0.1%
25628 2
< 0.1%

_AGE65YR
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.4 KiB
1
73654 
2
45726 
3
 
2651

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 73654
60.4%
2 45726
37.5%
3 2651
 
2.2%

Common Values (Plot)

2024-05-29T00:28:30.649284image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

_AGE80
Categorical

HIGH CARDINALITY 

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size121.8 KiB
80
10463 
70
 
2931
65
 
2865
67
 
2685
75
 
2683
Other values (58)
100404 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row79
2nd row62
3rd row79
4th row80
5th row68

Common Values

ValueCountFrequency (%)
80 10463
 
8.6%
70 2931
 
2.4%
65 2865
 
2.3%
67 2685
 
2.2%
75 2683
 
2.2%
60 2631
 
2.2%
68 2615
 
2.1%
72 2613
 
2.1%
69 2613
 
2.1%
62 2597
 
2.1%
Other values (53) 87335
71.6%

_AGEG5YR
Categorical

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.9 KiB
10
13122 
9
12556 
11
12513 
13
10462 
8
10047 
Other values (9)
63331 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12
2nd row9
3rd row12
4th row13
5th row10

Common Values

ValueCountFrequency (%)
10 13122
10.8%
9 12556
10.3%
11 12513
10.3%
13 10462
8.6%
8 10047
8.2%
12 9629
7.9%
7 9230
7.6%
5 8005
 
6.6%
6 7618
 
6.2%
4 7389
 
6.1%
Other values (4) 21460
17.6%

_AGE_G
Categorical

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size119.5 KiB
6
46378 
5
23145 
4
18126 
3
15564 
2
12099 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row5
3rd row6
4th row6
5th row6

Common Values

ValueCountFrequency (%)
6 46378
38.0%
5 23145
19.0%
4 18126
 
14.9%
3 15564
 
12.8%
2 12099
 
9.9%
1 6719
 
5.5%

Common Values (Plot)

2024-05-29T00:28:30.927977image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/